computational neuroscience phd requirements

PhD Program in Computational Neuroscience

The Graduate Program in Computational Neuroscience (CNS) provides an interdepartmental and interdivisional focus for innovative multidisciplinary training in neuroscience.

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The University of Chicago has a long tradition of innovative research in the neurosciences. K. C. Cole developed the voltage clamp here, Stephen Polyak and C. J. Herrick did pioneering work on the anatomy of the retina and brain, and Jack Cowan and Hugh Wilson were among the first to develop mathematical analyses of the dynamics of cortical neurons using non-linear dynamics.

This tradition is continued in Graduate Program in Computational Neuroscience, which provides an interdepartmental and interdivisional focus for multidisciplinary training in neuroscience.

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Welcome from the Chair

"I'm proud of the history of excellence in Computational Neuroscience here at UChicago and I'm excited about the future of our field, especially when it is populated with our exceptional graduates."

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Friday, May 24th, 11:00 am Victoria Booth, PhD University of Michigan SBRI J461

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Emory University Laney Graduate School Neuroscience Graduate Program

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• Computational Neuroscience

Seeking a degree in Computational Neuroscience?

The graduate program in Neuroscience at Emory University is an interdisciplinary program, spanning many departments and priding itself on a collaborative atmosphere encouraging excellence. Our faculty and students have a broad scope of research interests within neuroscience, ranging from molecular to cellular to behavioral neuroscience.

Our program is one of eight Ph.D. programs that comprise the Emory Graduate Division of Biological and Biomedical Sciences (GDBBS). There are over 260 faculty members in the Division, and graduate students of any program in the Division face no departmental barriers. They can do laboratory rotations and research with any of the Division Faculty. The can also switch to one of the other programs, have an advisor from another program and take any course offered by the Division. This structure gives students tremendous flexibility in choosing coursework, advisors and research plans. There are currently 98 students enrolled in the program, and the average time to finish the degree is about 5.5 years.

Joint Degree Programs

• Neuroscience/Biomedical Engineering In 1997, Emory University and the Georgia Institute of Technology joined forces to create a joint Biomedical Engineering Department , which includes 15 Emory faculty members (4 from Neuroscience), and over 25 faculty members from Georgia Tech. The collaboration provides enormous opportunity and intellectual resources for students interested in neuroengineering, neuronal modeling, computational neuroscience and other cutting-edge challenges. Emory has eleven faculty that participate in this joint effort. The Chairman of the new department, Dr. Don Giddens, headed the Johns Hopkins College of Engineering before coming to Emory.
• MD/PhD Approximately 10-15% of Neuroscience graduate students are working towards an M.D. degree or already have one. MD/PhD students are admitted through the MD/PhD Program .

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In addition, all students must participate in weekly seminars for the first 2 years of the program. These seminars are informal venues where students present either relevant papers or their own research to their peers and a small group of faculty members. From this experience, students learn presentation and communication skills essential to a career in science.

Related Terms

• Behavioral Neuroscience
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Information & Guides

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PhD Program Admissions

Visualization of copper in normal (top row) and mutant (bottom row) zebrafish brains. Image by Tong Xiao, Chang lab.

The application deadline for Fall 2024 admission was November 27th, 2023 (by 8:59 pm Pacific Standard Time). 

The Neuroscience PhD Program grants PhDs only. We do not offer a master’s degree. Applications are accepted from the middle of September through the end of November for admission for Fall of the following year. We do not accept applications for spring semester. All application materials must be received by the deadline. Late applications are not accepted or reviewed. 

Applications will be reviewed holistically, using a rubric that considers academic preparation, research experience, contributions to diversity and community, initiative and motivation, and synergy with the program, each evaluated in the context of the individual applicant.

For more information please visit:

• Which Program is Right For You
• Steps to a PhD
• Application Requirements
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Areas of Neuroscience

The Neuroscience PhD Program provides research training in four broad areas of neuroscience: cellular & molecular neuroscience, circuit, systems & behavioral neuroscience, human cognition, and computational neuroscience. Read more about each below.

Molecular & Cellular Neuroscience

Molecular and cellular neuroscientists at Berkeley study neuronal cell biology, cellular physiology, and molecular and genetic basis of neuron, synapse, and glial function. Specific topics include sensory transduction, cellular-level neuronal development, synaptic transmission and plasticity, ion channel physiology, neurodegenerative disease, and neurodevelopmental disorders. Many faculty develop novel molecular genetic tools to more precisely measure cellular physiology or to develop new therapeutical approaches to disease. Methods from molecular biology, computational biology (bioinformatics), and cellular physiology are often used in this research.

Circuit, Systems & Behavioral Neuroscience

Circuit, systems and behavioral neuroscientists at UC Berkeley study how neural circuits, ensembles, and large-scale neural systems process information in order to interpret the sensory world, make and recall memories, and produce specific behaviors. Our faculty study neural systems for sensory processing (vision, audition, touch), innate behaviors, memory, navigation, motivated behaviors, sleep, circadian rhythms, social behaviors, decision making, and more. This research often involves neurophysiology, imaging, and optogenetics experiments, usually in behaving animals. Computational models of neural circuits, and sophisticated data analysis involving modeling and machine learning, are often used in this research.

Cognitive Neuroscience

Cognitive neuroscience at UC Berkeley focuses on human cognition and its brain correlates. Our faculty study the human cognitive abilities and neural mechanisms underlying learning and memory, decision making, perception, reasoning, attention, sleep, motor control, etc. Berkeley human cognition labs employ a broad range of experimental techniques, including functional and structural neuroimaging, electrophysiology, brain stimulation, pharmacology, computational modeling, and quantitative behavioral analyses.

Computational Neuroscience

Although quantitative methods are used in all sub areas of neuroscience for analyzing complex data sets, the focus of Computational Neuroscience is to model the brain or brain function: computational models can attempt to model experimental data obtained in neurophysiological experiments (biophysically plausible models) or model functions achieved by the brain such as object recognition, language comprehension, symbolic manipulations, etc. A strong mathematical and programming background is required for research in Computational Neuroscience.

Please see the Neuroscience Department page:  Diversity, Equity & Inclusion .

Recorded Info Session:

Friday, November 3, 2023 11am-12pm Pacific Time Neuroscience PhD Program – Diversity Admissions Fair Info Session Hosted by Program Faculty with Current Students Session Recording

Previously Recorded Info Session:

Friday, November 4, 2022 10-11am Pacific Time AMA Grad Student Panel for Prospective Applicants Hosted by Current Students Session Recording

Brain and Cognitive Sciences PhD Program

Graduate students in the Department of Brain and Cognitive Sciences are among the sharpest, most innovative brain scientists to be found anywhere. In a given year the department admits 5 to 10 percent of applicants, and our PhD program is consistently ranked among the best in the world. Students work hard to get here, and they are highly valued in the BCS community.

Innovative:  Our students often take on riskier projects and pilot studies that probe the edges of our technical and scientific knowledge. They can move among projects more easily, and their successes lay the foundation for not only their careers but the future directions of their mentors’ labs.

Collaborative:  Our students bring bold, fresh thinking to the department, and exploring these potentially transformative ideas often means reaching across boundaries of lab, center, and department to build new collaborations. Graduate students help BCS mesh with the rest of MIT.

Supportive: Graduate students are the most frequent mentors of undergraduate students in UROPs , actively guiding and developing those who will become the next generation of top-tier graduate students. BCS graduate students also are helping make sure the department is a welcoming, inclusive, and equitable community.

Overview of the Program

Graduate students in the Department of Brain and Cognitive Sciences work with an advisor and advisory committee to pursue an innovative and rigorous program of original research. Students should aim to complete their PhD in five to six years.  

• Students take three to four of their required six courses
• Students complete required Responsible Conduct in Science training.
• Students complete a minimum of three lab rotations by March 31.
• Students select a thesis advisor by April 30.    
• Students complete the remaining two to three of their academic course requirements by the end of the Spring Term.
• Students complete teaching assistant training and their first teaching (TA) requirement.
• Students form their qualifying exam advisory committee, have their first committee meeting, and turn in the completed committee meeting form to BCS HQ by the end of the Spring Term.   
• Students complete the second teaching (TA) requirement.
• Students complete the written and oral qualifying exam in October or November.  
• Students form a thesis committee, submit a written thesis proposal to their committee, orally present their proposal to the thesis committee, and receive committee approval, before the end of the Spring Term.
• Students must meet with their thesis committee once per year.
• Students take the final steps to completing the PhD oral examination (also known as the thesis defense) and submission of the approved written dissertation.

For detailed information on courses, rotations, and other program requirements, see Program Details .

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Computational Neuroscience

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Courses and Exams

The Computational Neuroscience specialization is a facet of the broader  Neuroscience Graduate Program at UC San Diego . The goal of the specialization is to train the next generation of neuroscientists with the analytical and computational skills that are essential to understand the organization and function of neural systems. The specialization is open to all students and may be of particular interest to students with backgrounds in physics, computer science, engineering, and mathematics.

The specialization allows Neuroscience students to concentrate on a program of rigorous course work on fundamental aspects of computational neuroscience. Students are encouraged to pursue thesis projects that include both an experimental and a computational component, possibly arranged as a collaboration between two research groups. Upon achievement of degree requirements, students will receive a diploma indicating both their successful completion of the broader Neuroscience Program as well as their specialization in Computational Neuroscience.

The program is focused on these major themes relevant for computational neuroscience research:

• Cellular and Synaptic Dynamics - Anatomy, physiology, and electrical and chemical dynamics of individual neurons. Neuromorphic models.
• Biophysical Basis of Neuronal Computation - Collective properties and dynamics of neuronal systems, with emphasis on feedforward networks, associative networks, and networks of coupled oscillators.
• Algorithms for the Analysis of Neural Data - Characterization of spiking and continuous processes (ECoG, LFP, MEG, fMRI). Statistical aspects of genomics and neuroanatomy.
• Advanced Optical Tools in Quantitative Biology.
• Workshop in Electron Microscopy.
• Magnetic Resonance Imaging.

The program is currently led by David Kleinfeld (Physics and Neurobiology) and the primary teaching faculty also include Henry Abarbanel (Physics and Scripps Institution of Oceanography), Gert Cauwenberghs (Bioengineering), Eran Mukamel (Cognitive Science), Terrence Sejnowski (Salk Institute for Biological Studies and Neurobiology), Tatyana Sharpee (Salk Institute for Biological Studies and Physics) and Gabriel Silva (Ophthalmology and Bioengineering).

Application

All students admitted to the Neurosciences Graduate Program are eligible to pursue the CNS. Additionally, Ph.D. candidates in Physics and Bioengineering are also eligible to apply to the CNS. Upon completion of the CNS required coursework, a Neuroscience, Physics or Bioengineering student can apply for the specialization by completing the form below. After a preliminary review, our team will request a copy of their C.V., undergraduate transcripts, graduate transcripts, and a short description of their research interests. This application will be approved by the Computation Neuroscience Committee Chair, Dr. David Kleinfeld at [email protected] .

Upon achievement of degree requirements, students will receive a diploma indicating both their successful completion of their Ph.D. program as well as their specialization in Computational Neuroscience.

Thesis Research

All CNS students are expected to complete a Ph.D. dissertation connected with an issue in contemporary computational neuroscience. Either the student's primary advisor or close co-advisor (approved by the Computational Neuroscience Committee) must be a member of the Neuroscience Graduate Program faculty . 

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Computational neuroscience.

"The Computational Neuroscience program here at UChicago has provided me with the knowledge, training, and confidence to pursue my ambitions. The rigorous coursework perfectly addressed my weaknesses, coming from a non-computational background. My network of mentors, friends, and staff have also greatly fostered and supported my success as a graduate student."

Caleb Sponheim

PhD candidate in the lab of Nicholas Hatsopoulos

Computational Neuroscience: Quantitative approaches to studying nervous system function

The University of Chicago has a long tradition of innovative research in the neurosciences. K. C. Cole developed the voltage clamp here, Stephen Polyak and C. J. Herrick did pioneering work on the anatomy of the retina and brain, and Jack Cowan and Hugh Wilson were among the first to develop mathematical analyses of the dynamics of cortical neurons using nonlinear dynamics.

This tradition is continued in the Committee on Computational Neuroscience, which draws on faculty from many departments in all four graduate divisions in the University to create a multidisciplinary program in neuroscience. Computational neuroscience is a relatively new area of inquiry that is concerned with how components of animal and human nervous systems interact to produce behaviors. Using quantitative and modeling methods, the interdisciplinary approach of computational neuroscience seeks to understand the function of the nervous system, natural behaviors and cognitive processes and to design human made devices that duplicate behaviors.

Course work in computational neuroscience prepares students for research in neurobiology, psychology, or in the mathematical or engineering sciences. Graduates from this program move to traditional academic careers, to careers in biomedical research or engineering, or to opportunities in the corporate world.

Faculty in Computational Neuroscience Program Website

Current Students

Multi-disciplinary

Computational Neuroscience Curriculum

Phd in computational neuroscience, what we expect from students beginning a phd in computational neuroscience .

We expect all students joining the computational neuroscience (CompNeuro) pathway will have a strong quantitative background. This can be established with an undergraduate degree in a quantitative field (e.g., Computational Neuroscience, Mathematics, Statistics, Engineering, Computer Science, Physics, or similar), but other evidence of experiential quantitative training will be considered on a case by case basis.

At a minimum, we expect students to have taken the following courses (or other evidence of training):

• Calculus (all neuroscience students)
• Differential Equations
• Linear Algebra
• Introductory course in Computer Science and/or Programming

Exceptions can be made on a case by case basis for students with a strong quantitative background who are missing one or more of these specific requirements.

What we expect from students completing a PhD in computational neuroscience

On completion of a PhD in computational neuroscience, students will have a broad knowledge of theoretical/mathematical neuroscience, statistics, and data science (core topics listed below). Graduates will be proficient in research programming, with experience in data management and experience in implementing best practices for reproducible computational research. Finally, graduates will have deep knowledge and expertise related to their chosen research topic (including additional graduate-level coursework, as necessary).

Students will be well-prepared for both academic and non-academic careers.

Required coursework.

Students specializing in computational neuroscience must complete the required GPN core neuroscience coursework listed below, plus the additional core courses in BU CompNeuro:

GPN Core Courses (18 cr): 

• Frontiers in Neuroscience (NE500/NE501) (4 cr)
• Principles of Neuroscience I: From Molecules to Systems (GMS NE 700) (4 cr)
• Neural Systems I: Functional Circuit Analysis (GRS NE 741) (4 cr)
• Neural Systems II: Cognition and Behavior (GRS NE 742) (4 cr)
• Introduction to Modeling and Data Analysis in Neuroscience (GRS MA 665) (2 cr)

  Computational Neuroscience Core Courses (10 credits): 

• Advanced Modeling and Data Analysis in Neuroscience (GRS MA 666) (2 cr)
• Accelerated Introduction to Statistical Methods for Quantitative Research  (GRS MA 681) (4 cr) 
• Time Series Analysis for Neuroscience Research (GRS MA 765) (4 cr)

  Computational Neuroscience Electives (5 courses):

One upper level / graduate computational neuroscience course, approved by the student’s primary research mentor and the Computational Neuroscience Curriculum Committee. Courses chosen for this elective should explicitly include elements of both computation and neuroscience.

Four upper level / graduate courses determined by the student’s research interests, and approved by the student’s primary research mentor and the Computational Neuroscience Curriculum Committee. 

• CAS MA 510 may be substituted for GRS MA 665/666 when the latter is not offered.

Neuroscience Institute

Application process.

Application to the Ph.D. Program in Neural Computation and to the Ph.D. Program in Systems Neuroscience is made by completing the   online application form . The deadline for applications is December 1 for entry in the following fall semester. The recommendations are also due by December 1. All deadlines are final. Please submit all materials well in advance of the deadlines. Admission to the joint PNC/ML and PNC/Statistics degree programs is by petition after acceptance into the PNC program. There is no direct admission to the joint programs.

Test Scores (GRE and TOEFL/ Duolingo English Test)

All students whose native language is not English must take the Test of English as a Foreign Language (TOEFL) or the Duolingo English Test.

TOEFL:  Institution Code – 2074 TOEFL Code – 99 (Other)

Duolingo English Test: 

The Duolingo English Test is an online English proficiency test that can be taken online, on-demand, in under an hour for only $59. The test is taken via a computer with a camera and includes a proficiency score, video interview, and writing sample which are shared with the Neuroscience Institute when you send your results. Certified results are available within 48 hours of the test session.

Transcripts

Submit one transcript from each college or university attended, even if no degree was granted. Transcripts should be in an official sealed envelope and mailed to the address below.  We will accept official online transcripts sent to [email protected] .

Program in Neural Computation OR Program in Systems Neuroscience Neuroscience Institute 115 Mellon Institute 4400 Fifth Avenue Pittsburgh, PA 15213 tel: 412-268-4000 fax: 412-268-5060

Resume/CV and Statement of Purpose

The Resume/CV and Statement of Purpose must be submitted as a PDF.

Submit your current Resume/CV.   Outline your education, research experience, work experience, publications, scholarships awarded, prizes and honors received, society memberships, and any other extracurricular activities.

Submit a Statement of Purpose.   Prepare a concise one or two page essay that describes your primary interest of study, your experiences related to that area of study, and your objective in pursuing the PhD degree. In particular, your essay should be as specific as possible in describing your interests and should describe any relevant education, research, commercial, government, or teaching experience.

Recommendations

It is your responsibility to make certain that the recommendations have been submitted by deadline.

Application Fee

There is no application fee to apply to the Ph.D. Program in Neural Computation or to the Ph.D. Program in Systems Neuroscience.

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All students receive a travel stipend of $500/academic year and a one-time $1000 towards a laptop or computer.

All full-time Ph.D. students receive both full tuition support and a living stipend irrespective of financial need.

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Ph.D. Degree Requirements

Degree requirements:.

• A minimum of 135 units 
• Complete all required courses with a grade of B or better
• Pass a Qualifying Exam
• Publish a minimum of one first author publication in a peer-reviewed journal on the topic of the dissertation
• Pass the University Oral Exam (thesis defense)
• Submit a Written Dissertation that is approved by the thesis committee

Please review the doctoral degree requirements in the  Stanford Bulletin . 

For additional information about minimum residency requirements for PhD students, please see the  Graduate Academic Policies and Procedures Handbook, Section 3.2 . 

Ph.D Program Overview and Degree Timeline

The Neurosciences Program teaches students how to approach and solve research problems by developing skills in modern methods of neuroscience research, the ability to appraise the scientific literature and make scientific judgements, to be self-confident and skillful in communicating research results and ultimately to function as independent creative neuroscientists. Students work closely with faculty, postdoctoral fellows and other students to achieve these goals.

• Stanford Immersive Neuroscience: Incoming students attend the two-week Stanford Immersive Neuroscience course in early September. Comprised of lectures and labs, students learn a host of techniques in cellular and moledular aspects of neuroscience while getting to know and work with their classmates. 
• Lab Rotations: Students complete at least 3 laboratory rotations to gain hands-on experience in a variety of approaches and methods, get to know faculty members and their laboratory groups, and gain information about the research area for their thesis.
• Neuroscience Core Modules: These eight 3-week modules cover genetics, anatomy, development, molecular, cellular, cognitive, computational, and systems neuroscience.
• NEPR 212: Responsible Conduct of Neuroscience
• NEPR 209: Introduction to Mathematical Tools for Neuroscience
• NEPR 280: Neuroscience Journal Club and Professional Development Series
• BIOS 217: Foundations of Statistics and Reproducible Research
• Meet the Faculty: The program hosts weekly talks with faculty as an introduction to research in program labs and explore options for rotations and thesis work. 
• Fellowship Applications: Students may apply for extramural fellowships and grants for which they are eligible (e.g., NSF GRFP, HHMI)
• Thesis Lab Selection: Students join a thesis lab at the end of the first year.
• Individual Development Plan (IDP)   Meeting : After joining a lab, students meet with their mentor to complete the  Individual Development Plan (IDP) , a roadmap to complete their degree and pursue their chosen career path.
• Courses to meet the Advanced Topic and Statistics requirement
• Initiate Thesis Project: After settling into the thesis lab, the second year is spent developing a thesis project that will be proposed as part of the Qualifying Exam.
• Fellowship Applications: Eligible students will apply for the NSF GRFP and other fellowships as applicable. 
• Qualifying Examination: The Qualifying Exam is taken by the end of the second year in the program.
• After successful completion of the Qualifying Exam, students will apply for Doctoral Candidacy and form their thesis committee . 
• Annual Individual Development Plan (IDP)  - Students will complete the IDP with their thesis advisor annualy by August 31. 
• Program Service: In the second year, students take on leadership roles in the program by serving as student representatives for admissions, curriculum, community activities, student speaker events, and the program retreat. Students may also begin doing work as Teaching Assistants at Stanford. 
• Thesis Research: After passing the qualifying exam and advancing to doctoral candidacy, students will focus on their thesis research. 
• Fellowship Applications: Eligible students will apply for the NIH NRSA by December of the third year and should also apply for other fellowships for which they are eligible.
• Thesis Committee Meeting: Students will meet with their Thesis Committee at least once in the 3rd and 4th year to ensure progress towards successful completion thesis research.
• Individual Development Plan (IDP) - Students will complete the IDP with their thesis advisor annually. 
• Thesis Research:  Thesis research continues
• Thesis Committee Meeting:  Students will meet with their Thesis Committee at least once in the 4th year to ensure progress towards successful completion thesis research. They should also map out a plan for submitting the required first author manuscript and discuss this with their committee. 
• Individual Development Plan (IDP)  -  Students will complete the IDP with their thesis advisor annually. 
• Thesis Committee Meetings:  Starting in the fifth year these meetings happen more frequently to ensure progress to complete the research project and final degree requirements - first author publication, thesis defense, and written dissertation. 
• Thesis Defense - Students give a defense of their dissertation/thesis paper; this is a public seminar presenting their research findings that is followed by an Oral Examination conducted by their thesis committee. 
• First Author Publication - Students publish a first-authored manuscript to a peer-reviewed journal. 
• Written Dissertation - A written dissertation of their graduate research is the final requirement to complete the Ph.D. degree.
• The Ph.D. program typically takes approximately five years to complete.

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Program Requirements

MSc or PhD in Neuroscience with an Interdisciplinary Specialization in Computational Neuroscience

Msc students.

In addition to the requirements of the Faculty of Graduate Studies and the home program, MSc students are required to complete one 3-unit course from the  Computational series ,  expected to be  MDSC628 , Introduction to Computational Neuroscience, unless approval is received from the program to substitute another Computational series course.

PhD Students

PhD students are required to select two 3-unit courses from the  Computational series . One of the Computational courses is expected to be MDSC628 , Introduction to Computational Neuroscience, unless approval is received from the program to substitute another Computational series course.

MSc or PhD in Physics and Astronomy with an Interdisciplinary Specialization in Computational Neuroscience

In addition to meeting the requirements of the Faculty of Graduate Studies and the Faculty of Science (Physics and Astronomy), MSc students are required to select one 3-unit course from the Neuroscience series and one 3-unit course from the Computational series . The Computational course is expected to be MDSC628 , Introduction to Computational Neuroscience, unless approval is received from the program to substitute another Computational series course.

PhD students are required to select two 3-unit courses from the  Computational series . One of the Computational courses is expected to be MDSC628 , Introduction to Computational Neuroscience, unless approval is received from the program to substitute another Computational series course. PhD students are also required to select two 3-unit course from the Neuroscience series .

MSc or PhD in Biomedical Engineering with an Interdisciplinary Specialization in Computational Neuroscience

In addition to meeting the requirements of the Faculty of Graduate Studies and the Schulich School of Engineering, MSc students are required to select one 3-unit course from the Neuroscience series and one 3-unit course from the Computational series . The Computational course is expected to be MDSC628 , Introduction to Computational Neuroscience, unless approval is received from the program to s ubstitute another Computational series course.

PhD students are required to select two 3-unit courses from the  Computational series . One of the Computational courses is expected to be MDSC628 , Introduction to Computational Neuroscience, unless approval is received from the program to substitute another Computational series course . PhD students are also required to select two 3-unit course from the Neuroscience series .

MSc or PhD in Psychology with an Interdisciplinary Specialization in Computational Neuroscience

In addition to meeting the requirements of the Faculty of Graduate Studies and the Faculty of Arts, MSc students are required to select one 3-unit course from the Neuroscience series and one 3-unit course from the Computational series . The Computational course is expected to be MDSC628 , Introduction to Computational Neuroscience, unless approval is received from the program to substitute another Computational series course.

MSc or PhD in Computer Science with an Interdisciplinary Specialization in Computational Neuroscience

In addition to meeting the requirements of the Faculty of Graduate Studies and the Faculty of Science, MSc students are required to select one 3-unit course from the Neuroscience series and one 3-unit course from the Computational series . The Computational course is expected to be MDSC628 , Introduction to Computational Neuroscience, unless approval is received from the program to substitute another Computational series course.  

PhD students are required to select two 3-unit courses from the  Computational series . One of the Computational courses is expected to be MDSC628 , Introduction to Computational Neuroscience, unless approval is received from the program to substitute another Computational series course. PhD students are also required to select two 3-unit course from the Neuroscience series .  

Note about course substitutions:

Replacement courses for MDSC628 can be justified based on prior coursework and relevance to the student's research project. Suggested alternatives include:

BMEN 619.22  Computational Models in Neuroimaging BMEN 619.18  Special problems in Machine Learning PSCH 503  Special Topics: Computational Behavioural Neuroscience

Please contact the Program Director with any questions Dr. Signe Bray

Johns Hopkins School of Medicine

The Solomon H. Snyder Department of Neuroscience

Welcome to the Graduate Program

Think of the Neuroscience Training Program at Johns Hopkins as an expedition, where you will search the frontiers of science for discoveries that explain the inner workings of the nervous system.

  2023 Hopkins Neuroscience Graduate Program Virtual Open House Registration

November 2nd, 2023, 4-6 PM Please register below to receive the zoom link: https://forms.office.com/r/UdvVL6YtKq

Application Portal (JHU 2023-2024)

How to Apply  (Neuroscience Training Program page)

Neuroscience Graduate Training Program Co-Directors: Chris Potter , Dan O'Connor Deputy Director: Hita Adwanikar Senior Academic Program Coordinator: Audrey Scriven Admissions Director: Hyungbae Kwon

Participation in extensive collaborations, access to cutting-edge resources, and exposure to world-class research, await students in our program. 

The Neuroscience Training Program and the Neuroscience Department were among the first neuroscience-focused academic centers established in the United States, dating back to 1980. Our faculty have trained over 250 PhD and MD/PhD students and 500 postdoctoral fellows in just the past ten years, partnerships that have led to fundamental discoveries in the organization of the cerebral cortex, neurotransmitter signaling, neuronal and glial cell development, and circuit function. 

Our students represent the brightest young scientific minds, and many have shown an early commitment to research. Because they enter our Program with different backgrounds, and the laboratories in which they choose to work are so diverse, our program is designed to be flexible. All doctoral candidates receive full tuition remission and a stipend for the duration of their studies. Currently, 177 doctoral candidates and 200 postdoctoral fellows work in the faculty laboratories, creating a diverse community that fosters development of novel approaches to answer complex questions. 

The goal of the Program to ensure that our students obtain broad training in the neurosciences. Our curriculum spans the breadth of modern neuroscience, from molecular/cellular underpinnings to systems/cognitive integration, and offers a rich training experience that brings students to the forefront of research in their particular area of interest, in preparation for a rewarding, independent career in the sciences.

Core courses cover the basics of molecular and cellular neuroscience, neuroanatomy, and systems neuroscience. Electives and laboratory rotations provide students with specialized training, and the Department’s long-standing seminar series brings in weekly national and international luminaries, exposing students and fellows to the full spectrum of the world’s most exciting new discoveries in neuroscience.

Our 34 primary faculty , together with over  70 other faculty  who have secondary appointments in the Department, offer graduate students and postdoctoral fellows an incomparable neuroscience training experience.  Our students also have the opportunity perform laboratory rotations and conduct thesis research in the laboratory of scientists at Janelia Research Campus of the Howard Hughes Medical Institute, located near Leesburg Virginia. Faculty in the many departments associated with the Program share a commitment to training the next generation of scientists.

In recognition of this outstanding environment, our graduate program is consistently ranked among the best in the country, and our graduates have gone on to faculty positions at other leading institutions and senior research positions in pharmaceutical and biotech companies.

There has never been a more exciting time in the field of neuroscience. We hope you will join us in this journey of discovery.

Gatsby Computational Neuroscience Unit

PhD programme

• Programme structure
• Applications

Application for 2024 entry is now closed.

Phd in theoretical neuroscience and machine learning.

The four-year PhD programme includes in its first year intensive courses that provide a comprehensive introduction to theoretical and systems neuroscience and machine learning (see Teaching ). Multidisciplinary training in other areas of neuroscience is also available. We offer a supportive and interdisciplinary environment with close links to the Sainsbury Wellcome Centre for Neural Circuits and Behaviours (SWC) and the ELLIS Unit at UCL. Students are strongly encouraged to work and interact closely with peers and faculty at SWC and the ELLIS Unit to benefit from this uniquely multidisciplinary research environment. Projects involving collaboration with researchers at and/or external to UCL are welcome. For details see programme structure . Students study toward a PhD in either machine learning or computational and theoretical neuroscience, with minor emphasis in the complementary field. Exceptionally, some students with pre-secured studentships have joined us to study for an MPhil degree in one of these fields. Students from other PhD programmes can also carry out all or part of their research in the unit. We do not offer taught undergraduate and Master's degree programmes, nor a research Master's degree programme.

Around 90% of our alumni  students and postdoctoral fellows work in a scientific setting, with over 60% holding an academic position and about 30% working in research development in companies such as Google DeepMind and Facebook.

For more information on our current PhD students, please visit the People page and their individual pages linked therein.

Entry requirements

Applicants must have a strong analytical and mathematical background, a keen interest in neuroscience and/or machine learning, and a relevant first degree (for example, in Computer Science, Engineering, Physics, Statistics, Mathematics, Neuroscience, or Cognitive Psychology). Students seeking to combine work in neuroscience and machine learning are particularly encouraged to apply. Please note that candidates offered a place on the Gatsby PhD programme will be required to meet UCL's standard admissions requirements (including the English language requirements for international applicants).

Studentships

Full funding is available to all students, regardless of nationality. Our PhD studentships cover UCL tuition fees for both home and international students and include an annual tax-free stipend as well as travel budget for attending conferences and workshops. We also welcome applications from students with pre-secured funding or who are currently applying for other scholarships/studentships.

If you have additional questions, please see our FAQs or contact us .

Coordinator: Jason Zevin, PhD

Undergraduate Advisers: Elizabeth Linkous, [email protected] ; Lucy A. Leon, [email protected]

The computational neuroscience major is designed for those students with an interest in applying mathematical and computational methodologies toward understanding the structure and functioning of the nervous system. The major will provide progressive training in interdisciplinary and inter-faculty aspects of neuroscience, and serve as a foundation for students interested in pursuing post-graduate education in graduate or professional schools or career opportunities in technically advanced occupations. Research is integral to this major and students are encouraged to engage in research with neuroscience faculty as early as possible in their undergraduate years.

Grade Requirements

A grade of C- or higher is required to count toward major requirements.

Program Requirements:

Eleven core courses (44 units) + 6-7 electives (22-24 units) for a total of 66-68 units.

Core Requirements

• BISC 220Lg General Biology: Cell Biology and Physiology Units: 4 or
• BISC 221Lg Advanced General Biology: Cell Biology and Physiology Units: 4
• BISC 421 Neurobiology Units: 4
• CHEM 103Lgx General Chemistry for the Environment and Life Units: 4 or
• CHEM 105aLg General Chemistry Units: 4
• MATH 125g Calculus I Units: 4
• MATH 126g Calculus II Units: 4
• NEUR 408 Systems Neuroscience: From Synapses to Perception Units: 4
• PHYS 135ag Physics for the Life Sciences Units: 4 or
• PHYS 151Lg Fundamentals of Physics I: Mechanics and Thermodynamics Units: 4
• PHYS 135bL Physics for the Life Sciences Units: 4 or
• PHYS 152L Fundamentals of Physics II: Electricity and Magnetism Units: 4
• PSYC 100Lg Introduction to Psychology Units: 4
• PSYC 274Lg Statistics Units: 4
• PSYC 440 Introduction to Cognitive Neuroscience Units: 4

Computational Area

Students are to take a total of three courses. The courses are listed in the table according to the programming language of the courses. It is not obligatory that all courses be from the same programming language, but the student should be aware that knowledge of a different language will likely be assumed in the advanced courses. Only one introductory programming course will be counted toward the major.

Computational Area: Introductory Courses

Choose one course (2-4 units).

• CSCI 103L Introduction to Programming Units: 4
• CSCI 455x Introduction to Programming Systems Design Units: 4
• EE 150L Engineering Computational Methods Units: 3
• ITP 109 Introduction to Java Programming Units: 2
• ITP 115 Programming in Python Units: 2
• ITP 168 Introduction to MATLAB Units: 2

Computational Area: Advanced Courses

Choose two courses (8 units).

• BME 210 Biomedical Computer Simulation Methods Units: 4
• BME 402 Control and Communication in the Nervous System Units: 4
• CSCI 360 Introduction to Artificial Intelligence Units: 4
• CSCI 445L Introduction to Robotics Units: 4
• PSYC 450 Neural Network Models of Social and Cognitive Processes Units: 4

Graduate-Level Courses

A graduate-level advanced course from those listed below may be substituted for the undergraduate advanced course with permission:

• BME 502 Advanced Studies of the Nervous System Units: 4
• BME 575L Computational Neuroengineering Units: 3
• CSCI 561 Foundations of Artificial Intelligence Units: 4
• CSCI 564 Brain Theory and Artificial Intelligence Units: 3
• CSCI 574 Computer Vision Units: 3
• CSCI 662 Advanced Natural Language Processing Units: 4
• EE 559 Mathematical Pattern Recognition Units: 3
• NSCI 524 Advanced Overview of Neurosciences Units: 4
• NSCI 531 Molecular and Cellular Neurobiology Units: 4
• NSCI 532 Systems and Behavioral Neurobiology Units: 3
• PSYC 506 Learning and Cognition Units: 4
• PSYC 540 Cognitive Neuroscience Units: 4
• PSYC 544 Psychophysiology Units: 4
• PSYC 545 Neuropsychology Units: 4
• PSYC 547 Functional Neuroanatomy Units: 4
• PSYC 551 Decision Neuroscience Units: 4
• PSYC 555 Introduction to Functional Magnetic Resonance Imaging Units: 4

Biological Area

Choose 1-2 courses (4 units).

• BISC 424 Brain Architecture Units: 4
• BISC 461 Seminar in Molecular and Computational Biology Units: 2
• BISC 462 Seminar in Neurobiology Units: 2
• BISC 481 Structural Bioinformatics: From Atoms to Cells Units: 4
• BISC 490x Directed Research Units: 1, 2, 3, 4, 5, 6, 7, 8

Psychology Area

Choose one (4 units).

• PSYC 301L Cognitive Processes Units: 4
• PSYC 304L Sensation and Perception Units: 4
• PSYC 326 Behavioral Neuroscience Units: 4
• PSYC 424 Neuropsychology Units: 4
• PSYC 425 Functional Imaging of the Human Brain Units: 4
• PSYC 420 Animal Behavior Units: 4
• PSYC 438 Behavioral Genetics Units: 4

Math Electives

Choose one Math course (4 units) from the list below OR choose one additional course from the areas listed above not already counting for the major.

• MATH 225 Linear Algebra and Linear Differential Equations Units: 4
• MATH 226g Calculus III Units: 4
• MATH 245 Mathematics of Physics and Engineering I Units: 4

PhD Candidate: Computational Cognitive Neuroscience – Decision Confidence

Job Information

Offer description.

Are you fascinated by the brain mechanisms behind perceptual decision making, sensory uncertainty, and decision confidence? Do you want to understand how we actively gather information across the senses to navigate an uncertain world? Join our multidisciplinary team as a PhD candidate to investigate these questions! Almost every decision we make is accompanied by a feeling of confidence – a subjective assessment of how likely we are to be correct. This feeling of confidence allows us to evaluate our decisions and adjust our actions accordingly. Imagine you are about to cross a busy street. You rely on your sight and hearing to gauge if an oncoming truck will stop in time. But what factors influence your confidence in that judgment, and how does that confidence shape your next actions? This PhD project seeks to unravel the computations and neural mechanisms of these complex processes. As a PhD candidate, you will also have the opportunity to develop valuable skills by mentoring students, participating in international conferences, and collaborating with leading researchers in the field. We offer access to state-of-the-art facilities and resources, and a supportive environment for your academic and professional development. Your teaching load may be up to 5% of your working time.

Requirements

• You have an MSc or BSc degree in neuroscience, cognitive neuroscience, psychology, computer science, physics, engineering, or a related field with a strong quantitative background.
• You are enthusiastic about research and excel academically.
• You have excellent data analysis and statistics skills and are proficient in relevant programming languages and software.
• Prior experience with psychophysics, fMRI, MEG/EEG or computational modelling (e.g. Bayesian, neural network) would be a plus.
• Prior research in perception, attention, statistical learning or related fields would be advantageous. You are proactive, self-motivated, enjoy working independently and are also a team player who thrives in a collaborative and open lab culture.
• Because of EU mobility rules, you must not have resided or carried out your main activity (work, studies, etc.) in the Netherlands for more than twelve months in the past three years.

Additional Information

• We will give you a temporary employment contract (1.0 FTE) of 1,5 years, after which your performance will be evaluated. If the evaluation is positive, your contract will be extended by 2.5 years (4-year contract).
• You will receive a starting salary of €2,770 gross per month based on a 38-hour working week, which will increase to €3,539 in the fourth year ( salary scale P ).
• You will receive an 8% holiday allowance and an 8,3% end-of-year bonus.
• You will be able to use our Dual Career and Family Support Service . The Dual Career Programme assists your partner via support, tools, and resources to improve their chances of independently finding employment in the Netherlands. Our Family Support Service helps you and your partner feel welcome and at home by providing customised assistance in navigating local facilities, schools, and amenities. Also take a look at our support for international staff page to discover all our services for international employees.
• You will receive extra days off. With full-time employment, you can choose between 30 or 41 days of annual leave instead of the statutory 20.

Work and science require good employment practices. This is reflected in Radboud University's primary and secondary employment conditions . You can make arrangements for the best possible work-life balance with flexible working hours, various leave arrangements and working from home. You are also able to compose part of your employment conditions yourself, for example, exchange income for extra leave days and receive a reimbursement for your sports subscription. And of course, we offer a good pension plan. You are given plenty of room and responsibility to develop your talents and realise your ambitions. Therefore, we provide various training and development schemes.

You can apply only via the button below. Address your letter of application to Uta Noppeney. In the application form, you will find which documents you need to include with your application. During the job posting period, the selection committee will screen all incoming applications and schedule interviews. You will therefore shortly receive feedback and information about the possible follow-up process. If an appropriate candidate has been found before the closing date, we will close the vacancy and take down the job posting. If you want to know the current state of play, please contact the named contact person. The starting date of employment in 2024 is flexible. We can imagine you're curious about our application procedure . It describes what you can expect during the application procedure and how we handle your personal data and internal and external candidates.

Work Location(s)

Where to apply.

Dr. Rudy Gregory Jacquet

Dr. Rudy Gregory Jacquet shares his journey to earn a neuroscience doctorate, a pursuit that began in Haiti with the support of his loving parents – and a dream for a better life. He walked the stage of Carnegie Hall last week, sharing this special moment with his family and friends. His journey in his own words:

My parents were born and raised in Morrisseau, a village in southwest Haiti. Like their parents, they became farmers and grew up without access to electricity or modern technologies. Unfortunately, the village still lacks basic amenities such as electricity or paved roads. When my mother was a child in the late 60s, her family didn't own a clock and relied on the moon and the sun to tell time. In addition, Haiti has always been in turmoil, particularly in Port-au-Prince.

My parents had to work on the farm until late, so the local school wasn't a priority. They had to complete their schoolwork by candlelight. As a result, my father only completed the equivalent of second grade in the U.S., and my mother up to the eighth grade.

Our journey to establish ourselves as a family in the U.S. was long and difficult, but we persisted because my parents believed that America offered better opportunities despite the challenges.

My father immigrated to the United States and worked as a cook and taxi driver to support our family. Despite being a non-native English speaker, he persisted and obtained a work visa and green card. He eventually brought my mother and me here.

My mother raised me for the first thirteen years. It was difficult, especially in Haiti, a country in constant political turmoil with little security.

I remember the happiness we felt when our green cards arrived. I had always imagined living in the U.S. similar to what I had seen on TV; easy access to food, clean streets, and cold weather throughout the year.

After landing in NYC, my mother and I reunited with my father. I got to know him for the first time. We made up for lost time since I didn't have a father figure growing up. He and my mother valued education and encouraged me to complete my studies.

As a child, I dreamed of becoming a scientist. Despite feeling self-conscious, my science classes motivated me. The lack of resources, opportunities, public awareness, and mentorship posed a significant challenge throughout college and my master's and PhD programs. Like my parents, I persevered.

Dr. Rudy Gregory Jacquet and his family at the 2024 Convocation located at Carnegie Hall.

During my time at CUNY Lehman College, I faced several challenges. I had to adjust to a new country, learn English, and navigate new social norms. Although my high school experience was not great, my time at Lehman College proved to be a turning point. I excelled academically and was accepted into their scholar program during my sophomore year. This success inspired me to pursue a biology PhD, but I needed help to gain research experience.

For a year, I participated in a research program at the University of Michigan to gain the research experience needed to enter a PhD program. However, at the end, I did not get any offers of acceptance. That's when I decided to pursue a master's degree in biotechnology at NYU instead. During my time there, I had the opportunity to work in a lab with great mentors. Together, we co-authored two research papers. This completely changed the direction of my life and I decided to enter the biopharmaceutical industry.

Despite attending multiple interviews in the biopharmaceutical industry, I struggled to secure a job after graduating from NYU, and eventually I landed a position at Columbia University as a lab technician.

Toward the end of my tenure, I had to choose between applying for a job in the biopharmaceutical industry or enrolling in a PhD program at 30. Despite my fear of rejection, I applied to several PhD programs to expand my career opportunities.

The neuroscience PhD program at Weill Cornell Medicine was my top choice. I was drawn to its career training and sense of community among its students. I was thrilled when I received an offer to join the program!

My first two years at Weill Cornell allowed me to access cutting-edge research, learn from my colleagues, and select the lab for my thesis.

I joined the Maxfield lab after evaluating two key aspects: supportive lab members and the primary investigator, and whether the lab was conducting research aligned with my interests. Fortunately, they met both criteria, and I had the privilege of participating in cutting-edge Alzheimer's disease research for five years.

Pursuing a PhD is challenging. It can cause anxiety, stress, and uncertainty, making graduation and getting published seem unattainable. However, with the help of friends, mentors, and family, I overcame these challenges and achieved my goals.

My parents' journey from Haiti to raising a family in NYC impacted my life immensely. As the oldest of five siblings, I'm the first in my family to earn a doctorate. None of this would have been possible without my parents' courage to come to the States.

Dr. Rudy Gregory Jacquet and his parents.

Graduating as a scientist fulfills my aspirations and my parents’ dreams, and I feel honored to inspire my younger siblings and encourage underrepresented students to work hard and dream big.

Weill Cornell Medicine Graduate School of Medical Sciences 1300 York Ave. Box 65 New York, NY 10065 Phone: (212) 746-6565 Fax: (212) 746-8906

Explore the world of artificial intelligence with online courses from MIT

Through mit opencourseware, mitx, and mit xpro learn about machine learning, computational thinking, deepfakes, and more..

With the rise of artificial intelligence, the job landscape is changing — rapidly. MIT Open Learning offers online courses and resources straight from the MIT classroom that are designed to empower learners and professionals across industries with the competencies essential for succeeding in an increasingly AI-powered world.

Elevate your skills, unlock new opportunities, and advance your career with the following courses and materials available through MIT OpenCourseWare, MITx , and MIT xPRO — all part of MIT Open Learning.

Free MIT courses and resources

• AI 101 : Get an introduction to artificial intelligence that’s designed for those with little to no background in the subject.
• Artificial Intelligence : Examine the power of AI with MIT’s foundational course about the basic knowledge representation, problem solving, and learning methods of artificial intelligence.
• Introduction to Algorithms : Explore mathematical modeling of computational problems, common algorithms, algorithmic paradigms, and data structures used to solve these problems.
• Introduction to Computational Thinking and Data Science : Learn how to use computation to understand real-world phenomena.
• Introduction to Machine Learning : Get to know the principles, algorithms, and applications of machine learning from the point of view of modeling and prediction.
• Machine Learning with Python: From Linear Models to Deep Learning : Get an in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects.
• Machine Vision : Understand the process of generating a symbolic description of the environment from an image, by exploring the physics of image formation, image analysis, binary image processing, and filtering.
• Matrix Calculus for Machine Learning and Beyond : Learn a coherent approach to matrix calculus showing techniques that allow you to think of a matrix holistically — not just as an array of scalars — generalize and compute derivatives of important matrix factorizations, and understand how differentiation formulas must be reimagined in large-scale computing.
• Matrix Methods in Data Analysis, Signal Processing, and Machine Learning : Review linear algebra with applications to probability and statistics and optimization, and get a full explanation of deep learning.
• Generative Artificial Intelligence in K-12 Education : Get an introduction to the foundations of generative AI technology and the new opportunities it enables for K-12 education.
• Media Literacy in the Age of Deepfakes : Gain critical skills to better understand the past and contemporary threat of misinformation.
• Sorting Truth from Fiction: Civic Online Reasoning : Master quick and effective practices for evaluating online information that you can bring back to your classroom.
• Ethics of Technology : Discover the tools of philosophical ethics through application to contemporary issues concerning technology, including topics such as privacy and surveillance, algorithmic bias, the promise and peril of artificial intelligence, automation and the future of work, and threats to democracy in the digital age.
• Social and Ethical Responsibilities of Computing: AI and Algorithms : Learn how to practice responsible technology development through insights and methods from the humanities and social sciences, including an emphasis on social responsibility.
• Exploring Fairness In Machine Learning For International Development : Discover how and why machine learning is used in international development, explore the ethical challenges of machine learning bias and fairness in this context, and consider guiding principles for its use.
• Understanding the World through Data : Become a data explorer by learning how to leverage data and basic machine learning algorithms to understand the world.

Paid MIT courses for working professionals

• Machine Learning, Modeling, and Simulation: Engineering Problem-Solving in the Age of AI : Demystify machine learning through computational engineering principles and applications in this two-course program specifically designed for engineers, scientists, and researchers. Course 1: Machine Learning, Modeling, and Simulation Principles Course 2: Applying Machine Learning to Engineering and Science
• Deep Learning: Mastering Neural Networks : Explore the core mathematical and conceptual ideas underlying deep neural networks; experiment with deep learning models and algorithms using available machine learning toolkits; and examine application approaches and case studies where deep learning is being used.
• Designing and Building AI Products and Services : Learn the four stages of AI product design; identify applicable AI technologies to improve organizational processes; and analyze technical and operational requirements to build AI models.
• Artificial Intelligence in Healthcare: Fundamentals and Applications : Discover the AI design process model through its various stages; understand different machine learning algorithms and how they can be applied in varying scenarios; and examine neural network NLP algorithms and their widespread application.
• AI for Senior Executives : Strategically harness AI tools to improve efficiencies, cut costs, provide customer insights, and generate new product ideas; develop a strong foundation in generative AI; and understand the benefits, challenges, and ethical considerations of implementing generative AI and prompt engineering in an organization.

MIT OpenCourseWare offers free, online, open educational resources from more than 2,500 courses that span the MIT undergraduate and graduate curriculum. MITx offers hundreds of high-quality massive open online courses adapted from the MIT classroom for learners worldwide. MIT xPRO offers paid courses designed using cutting-edge research in the neuroscience of learning; its online learning programs leverage vetted content from world-renowned experts to make learning accessible anytime, anywhere.

Explore the world of artificial intelligence with online courses from MIT was originally published in MIT Open Learning on Medium, where people are continuing the conversation by highlighting and responding to this story.

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Eleven from MIT awarded 2024 Fulbright fellowships

By julia mongo.

May 21, 2024 | Office of Distinguished Fellowships

Eleven MIT undergraduates, graduate students, and alumni have won Fulbright grants to embark on projects overseas in the 2024-25 grant cycle. Two other students were offered awards but declined them to pursue other opportunities.

Funded by the U.S. Department of State, the Fulbright U.S. Student Program offers year-long opportunities for American citizen students and recent alumni to conduct independent research, pursue graduate studies, or teach English in over 140 countries.

MIT has been a Fulbright Top-Producing Institution for five years in a row. MIT students and alumni interested in applying to the Fulbright U.S. Student Program should contact Julia Mongo, MIT Fulbright program advisor, in the Office of Distinguished Fellowships in Career Advising and Professional Development.

April Cheng  is a junior studying physics with a minor in mathematics and is fast-tracked to graduate this spring. They will take their Fulbright research grant to the Max Planck Institute for Gravitational Physics in Potsdam, Germany, where they will study different statistical techniques to infer the expansion rate of the universe from gravitational waves. They first developed an interest in gravitational waves and black holes at the MIT LIGO and Caltech LIGO labs, but their research spans a wide range of topics in astrophysics, including cosmology and fast radio bursts. Cheng is passionate about physics education and is heavily involved in developing educational materials for high school Science Olympiads. At MIT, they are a member of the Physics Values Committee, the physics mentorship program, and the MIT Lion Dance team. After Fulbright, Cheng will pursue a PhD in astrophysics at Princeton University, where they have received the President’s Fellowship.

Grace McMillan  is a senior majoring in literature and mechanical engineering with a concentration in Russian language. As a Fulbright English Teaching Assistant Award recipient, she will teach at a university in Kazakhstan. McMillan’s interest in Central Asia was sparked by a Russian language immersion program she participated in during her sophomore summer in Bishkek, Kyrgyzstan, funded by MIT International Science and Technology Initiatives (MISTI). She is excited to help her students learn English to foster integration into the global academic community. During her time at MIT, McMillan has conducted research with faculty in nuclear science; earth, atmospheric, and planetary sciences; and the Digital Humanities Lab. Outside of academics, she has been an active member of her sorority, Sigma Kappa, and has served on the MIT Health Consumers’ Advisory Council for two years. After Fulbright, McMillan hopes to attend law school, focusing on education reform.

Ryan McTigue  will graduate this spring with a BS in physics and mathematics and a concentration in Spanish. With a Fulbright award to Spain, he will do research at the University of Valencia’s Institute of Molecular Science focusing on the physics of two-dimensional multiferroic nanodevices. He is looking forward to improving his Spanish and getting the opportunity to live abroad. At MIT, McTigue became interested in condensed matter physics research with the Checkelsky group, where he focused on engineering materials with flat bands that exhibited correlated electron effects. Outside of research, McTigue has been a mentor in the physics department’s mentoring program and a member of the heavyweight men’s crew team. After his Fulbright grant, McTigue will begin a PhD in physics at Princeton University.

Keith Murray ’22  graduated from MIT with a BS in computation and cognition and linguistics and philosophy. He will receive his MEng degree in computation and cognition this spring. As a Fulbright Hungary research grantee at the HUN-REN Wigner Research Centre for Physics, Murray will design generative AI models inspired by the primary visual cortex with the goal of making AI models more interpretable. At MIT, Murray’s research experiences spanned from training mice to perform navigation tasks in virtual reality to theorizing about how neurons might compute modular arithmetic. He was also a member of the men’s heavyweight crew team and the Phi Delta Theta fraternity. After Fulbright, Murray will pursue a PhD in neuroscience at Princeton University.

Maaya Prasad ’22  completed her undergraduate education at MIT with degrees in both electrical engineering and creative writing and will graduate this month with an MS in mechanical and ocean engineering. Her thesis research focuses on microplastic detection using optical sensing. Prasad’s Fulbright fellowship will take her to Mauritius, an East African island country located in the Indian Ocean. Here, she will continue her master’s research at the University of Mauritius and will work with local researchers to implement a microplastic survey system. While at MIT, Prasad joined the varsity sailing team with no prior experience. Her time spent on the water led her to pursue marine research at MIT Sea Grant, and she eventually earned an honorable mention to the 2023 All-American Sailing Team. After Fulbright, Prasad hopes to pursue a PhD in applied ocean engineering.

Anusha Puri  is a senior majoring in biological engineering. Her Fulbright award will take her to Lausanne, Switzerland, where she will conduct cancer immunology research at the Swiss Institute for Experimental Cancer Research. At MIT, Puri’s work in the Weinberg Lab focused on understanding mechanisms that drive resistance of breast cancer to immunotherapy. On campus, she founded and serves as president of MIT’s premiere stand-up comedy group, Stand-Up CoMITy, leads MIT’s Bhangra dance team, and is the editor-in-chief of the  MIT Undergraduate Research Journal . She looks forward to engaging with teaching outreach and practicing her French in Switzerland. After her Fulbright grant, she plans to pursue a PhD in biomedical science.

Olivia Rosenstein  will graduate this spring with a BS in physics and a minor in French. Her Fulbright will take her to ENS Paris-Saclay in Palaiseau, France, where she’ll deepen her education in atomic, molecular, and optical (AMO) physics. At MIT, Rosenstein has worked in Professor Mark Vogelsberger’s group researching models of galaxy formation and the early universe, and in Professor Richard Fletcher’s group on an erbium-lithium experiment to investigate quantum many-body dynamics in a degenerate mixture. In France, she will expand on the skills she developed in Fletcher’s lab by contributing to a project using optical tweezer arrays to study dipolar interactions. After Fulbright, Rosenstein plans to return to the United States to pursue a PhD in experimental AMO at Caltech.

Jennifer Schug  will receive this spring an MEng degree in the Climate, Environment, and Sustainability track within the MIT Department of Civil and Environmental Engineering. During her Fulbright year in Italy, she will conduct research on carbon storage in the Venice lagoon at the University of Padua. Schug is excited to build upon her research with the Terrer Lab at MIT, where she is currently investigating the effectiveness of forestation as a carbon sequestration strategy. She also looks forward to improving her Italian language skills and learning about Italian history and culture. Before beginning Fulbright this fall, Schug will study ecological preservation in Sicily this summer through an MIT-Italy collaboration with the University of Catania. After Fulbright, she hopes to continue researching nature-based solutions as climate change mitigation strategies.

Vaibhavi Shah ’21  earned a BS in biological engineering and in science, technology, and society at MIT, where she was named a Goldwater Scholar. She is now a medical student at Stanford University. As a Fulbright-Fogarty Fellow in Public Health, Shah will use both her computational and humanities backgrounds to investigate sociocultural factors underlying traumatic surgical injuries in Nepal. While at MIT, she was on the executive board of GlobeMed and the Society of Women Engineers, and she hopes to use those experiences to amplify diverse voices in medicine while on her journey to becoming a neurosurgeon-scientist. After Fulbright, Shah will complete her final year of medical school.

Charvi Sharma  is a senior studying computer science and molecular biology with a minor in theater arts. As a Fulbright English teaching assistant in Spain, she is excited to engage in cross-cultural exchange while furthering her skills as a teacher and as a leader. In addition to teaching, Sharma looks forward to immersing herself in the country’s vibrant traditions, improving her Spanish proficiency, and delving into the local arts and dance scene. At MIT, through Global Teaching Labs Spain and her roles as a dynaMIT mentor, an associate advisor, and a captain and president of her dance teams Mirchi and Nritya, Sharma has served as a teacher of both STEM and dance. Her passion for making a difference in her community is also evident through her work with Boston Medical Center’s Autism Program through the PKG Public Service Center and as an undergraduate cancer researcher in the Yaffe Lab. After Fulbright, Sharma plans to pursue an MD and, ultimately, a career as a clinician-scientist.

Isabella Witham  is a senior majoring in biological engineering. As a recipient of the Fulbright U.S.-Korea Presidential STEM Initiative Award, she will conduct research at Seoul National University’s Biomimetic Materials and Stem Cell Engineering Lab. Her work will involve creating biomimetic scaffolds for pancreatic cell transplantation to treat type I diabetes. While in South Korea, Witham aims to improve her language skills and explore cultural sites and cities. At MIT, she worked in the Belcher Lab on nanoparticle formulations, was a tutor for MIT’s Women’s Technology Program, and volunteered as a Medlink. After her Fulbright fellowship, she plans to pursue a PhD in biological engineering.

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Home / News / Students & Campus Life / FSU awards 339 honors medallions to Spring 2024 graduates

FSU awards 339 honors medallions to Spring 2024 graduates

Florida State University awarded honors medallions to 339 high-achieving graduates during the April 29 ceremony in Ruby Diamond Concert Hall.

The FSU Honors Program supports the efforts and talents of some of the university’s most intellectually curious students who have the potential, dedication and drive for creating change.

The ceremony included remarks by D. Craig Filar, associate dean of Honors, Scholars, and Fellows; Joe O’Shea, associate provost, dean of Undergraduate Studies; Neissa Philemon, dual honors graduate; and Julie Decker, president and CEO of the FSU Alumni Association.

The breakdown of the honors awardees is as follows:

233 graduates, University Honors Program Completed the University Honors Program, earning at least 18 honors points in fulfillment of the FSU Honors Program requirements.

81 graduates, Honors in the Major Program Completed an honors thesis in fulfillment of the requirement for the distinction “with honors” in their major department.

17 graduates, Outstanding Senior Scholar Completed both the University Honors Program and the Honors in the Major Program, with a 3.9 cumulative GPA or higher.

8 graduates, Dual Honors Completed both the University Honors Program and the Honors in the Major Program.

The honors medallion recipients, along with their hometowns, academic majors and award designations are listed by state and city below:

Vestavia Hills

Robert Laughlin, Physics, Dual Honors

Martha Cooper, Psychology; Philosophy, Honors in the Major

Alexa Brunkow, Accounting, University Honors

Addison Mitchell, Interdisciplinary Medical Sciences: Clinical Professions; Psychology, University Honors

CONNECTICUT

Vanessa Polidoro, Actuarial Science; Economics, University Honors

Katherine Rolph, Dance, University Honors

DISTRICT OF COLUMBIA

Louisa Spector, History; International Affairs, University Honors

Emilie Widarsson, English (Editing, Writing, & Media); Advertising, University Honors

Beverly Hills

Giovanna Cross, Political Science, University Honors

Eva Rucinski, Behavioral Neuroscience, University Honors

Eli McKown-Dawson, Political Science, Outstanding Senior Scholar

Emma Drac, Biological Science, University Honors

Jordan Rose, Finance; Biological Science, University Honors

Rose Walters, Commercial Entrepreneurship; International Affairs, University Honors

Bonita Springs

Justin Nightshade, English (Creative Writing); Anthropology, University Honors

Boynton Beach

Aidan Carley, Biological Science; Sociology, Outstanding Senior Scholar

Mia Crossen, Political Science, Honors in the Major

Reuven Lurie, Biological Science, University Honors

Danielle Maresca, Criminology, University Honors

Neissa Philemon, Public Health, Dual Honors

Sydney Richner, English (Literature, Media, & Culture), Honors in the Major

Scott Baker, Physics; Mathematics, Honors in the Major

Taylor Ferber – Nursing, University Honors

Gabriel Pfeuffer-Ferguson, Interdisciplinary Social Sciences, University Honors

Samantha Strickland, Psychology, Honors in the Major

Celebration

Elizabeth Orraca, Biology; Statistics, University Honors

Citrus Springs

Grace Mason, Behavioral Neuroscience, Honors in the Major

Savannah McGregor, Public Health; Sociology, Honors in the Major

Cocoa Beach

Kara Ahr, Interdisciplinary Medical Sciences: Clinical Professions, University Honors

Coral Gables

Catherine Rodriguez Barreda, Cell and Molecular Neuroscience, Honors in the Major

Coral Springs

Tiana Cates, Public Health, University Honors

Lauren Greenbaum, Media Communication Studies; Marketing, University Honors

Gillian Hightower, Biology, University Honors

Crystal River

Morgan Knipp, Biochemistry, University Honors

Carolyn Emerson, Meteorology, Honors in the Major

Pierce Thomas, Motion Picture Arts, University Honors

Chloe Wain, Political Science; English (Editing, Writing, & Media); Economics, Outstanding Senior Scholar

Joshua Weltmann, Biochemistry, University Honors

Daytona Beach

Joshua Zuckerman, Actuarial Science; Statistics, University Honors

Gavin Krueger, Political Science; Psychology, University Honors

Genevieve Reynolds, Criminology; Biological Science, University Honors

Fernandina Beach

John Sorensen, Biomedical Engineering, Honors in the Major

Fleming Island

Jaden Hamid, Finance, University Honors

Jack Lyons, Music Performance; Physics, University Honors

Leilanis Cancel-Lopez, Human Development and Family Science, University Honors

Jamie Guterman, Information, Communication, and Technology, University Honors

McKenzie Miller, Exercise Physiology, University Honors

Jason Puwalski, Political Science; Public Relations, University Honors

Erin Reeves, Interdisciplinary Medical Sciences: Clinical Professions, University Honors

Fort Myers Beach

Richard Hilpert, Psychology, Honors in the Major

Diego Mendoza-Jacobo, Exercise Physiology, University Honors

Gainesville

Katherine Buchanan, Criminology; Psychology, University Honors

Rebecca Gilland, Economics; Statistics, Dual Honors

Samantha Santelices, Human Development and Family Sciences, University Honors

Rosalyn Wadsworth, Anthropology, Honors in the Major

Gulf Breeze

Bailey Bouk, Political Science; English (Literature, Media, & Culture), University Honors

Michelle Snyder, Psychology, University Honors

Nicole Kidd, Criminology, University Honors

Indialantic

Marlee Krause, Computer Science, University Honors

Indian Rocks Beach

Haley McPherson, Environmental Science & Policy, University Honors

Jacksonville

Justin Aho, History, University Honors

Jasen Belenko, Interdisciplinary Medical Sciences: Clinical Professionals, Honors in the Major

Emily Citrano, Psychology, Honors in the Major

Caroline Giddens, Public Relations; Political Science, University Honors

Bianca Hamm, Communication Science and Disorders, Honors in the Major

Lindsey Loheac, Biological Science, University Honors

Caroline Owen, Linguistics and Languages, University Honors

Hannah Raisner, Political Science; English (Creative Writing), University Honors

Caroline Robbins, International Affairs; Political Science, University Honors

Illeana Sanders, Classical Archaeology; Political Science, Honors in the Major

Jaidyn Smith, Communication Science and Disorders; University Honors

Joshua Soffler, Political Science; Communication, Honors in the Major

Julia Wallace, Marketing; Sport Management, University Honors

Ethan Wood, Chemical Engineering, Honors in the Major

Julia Earnest, Exercise Physiology, University Honors

Kyle Rutter, International Affairs; Economics, University Honors

Breanna Heflin, Nursing, University Honors

Marielise Torres, Interdisciplinary Medical Sciences: Clinical Professions, Honors in the Major

Delaney Williams, Political Science; International Affairs, University Honors

Madison Finley, History; Russian, University Honors

Shanaya Jaitly, Interdisciplinary Social Sciences; Environment and Society, University Honors

Paige Murray, Political Science; Criminology, University Honors

Prerna Ravinder, Interdisciplinary Social Science; Computer Programming, University Honors

Skylar Klein, Biomaterials and Polymers, University Honors

Jake Langevin, Interdisciplinary Medical Sciences: Clinical Professions, University Honors

Lake Placid

Franco Angeles, Finance, University Honors

Lakewood Ranch

Samantha van der Sommen, English; History, University Honors

Samantha Mensching, Art History, University Honors

Kristina Robinette, History; Philosophy, University Honors

Cayley Williams, Anthropology, University Honors

Caysey Williams, Criminology, University Honors

Elena Villamagna, Public Health, Outstanding Senior Scholar

Roneesha Peltier, Interdisciplinary Medical Sciences: Clinical Professions, Honors in the Major

Kamryn Reynolds, Behavioral Neuroscience, University Honors

Alicia Southworth, English Education, University Honors

Cameron Valenti, Economics, Honors in the Major

William Pledger, Cell and Molecular Neuroscience, Honors in the Major

Anne Sullivan, Biological Science, University Honors

Brandon Kazmierczak, Computer Science, University Honors

Kayla Reeves, History, Outstanding Senior Scholar

Elissa Bell, Biological Science; Computational Science, Outstanding Senior Scholar

Julian Kinnaird, Psychology, Honors in the Major

Melbourne Beach

Cassandra Fetkowitz, Behavioral Neuroscience, University Honors

Marco Island

Sarah Nemeth, International Affairs; Economics, University Honors

Lauren Blackwell, Biological Science, University Honors

Fernando Carrillo, Biomedical Engineering, Honors in the Major

Victoria D’Amico, English (Creative Writing), University Honors

Jacqueline Emmerich, Psychology; Criminology, Honors in the Major

Viviana C. Gutierrez Caimary, Cell and Molecular Neuroscience, University Honors

Gabrielle Hagenlocker, Music Theatre, Outstanding Senior Scholar

Samantha Leon, Finance; Marketing, University Honors

Andrea Lopez, Linguistics and Languages; English (Editing, Writing, & Media), University Honors

Katherine Martinez, Biomedical Engineering, Honors in the Major

Keilly Miranda Torres, Political Science, University Honors

Chloe Patterson, Biomedical Engineering, Honors in the Major

Natalie Rubio, Behavioral Neuroscience, University Honors

Yuliet Sanchez, Nursing, University Honors

Thomas Suarez, Chemistry, Honors in the Major

Marissa Tellam, Psychology; Criminology, Dual Honors

Fatima Verona, Economics; Public Health, University Honors

Sara Boles, Political Science, University Honors

James Fair, Biological Science, University Honors

Alexis Amoyo, Computer Science, University Honors

Emma Everding, Computer Science; Environment and Society, University Honors

Grace Larson, English (Literature, Media, & Culture), University Honors

Kayla Mathai, Interdisciplinary Social Sciences, Honors in the Major

Jonathan Oliva-Infante, Political Science, University Honors

Emilie Parry, International Affairs, Theatre, University Honors

New Port Richey

Sarah Evans, Studio Arts, Honors in the Major

Marija Travoric, Computer Science, University Honors

Colby Nobis, Applied/Computational Mathematics, University Honors

Sara Friedmeyer, Classical Civilizations, University Honors

Orange Park

James Woolard, International Affairs; Economics, University Honors

Delaney Brown, English (Creative Writing), Honors in the Major

Lena Firlotte, Cell and Molecular Neuroscience, Honors in the Major

Nikole Galeano, Biological Science, University Honors

Nye’Dra Holmes, Psychology; Criminology, University Honors

Zoie Iglesias, Communication Science & Disorders, Honors in the Major

Michelle Leibman, Exercise Physiology, University Honors

Carson Long, French, University Honors

Isabella Lyewski, Biological Science, University Honors

Luke Meunier, Studio Art, Honors in the Major

Ashlynn Pope, Music Therapy; Psychology, University Honors

Katelyn Remboldt, Communication Science and Disorders, Honors in the Major

Finn Wright, Computer Science; English (Editing, Writing, & Media), University Honors

Courtney Harrigan, Behavioral Neuroscience, University Honors

Abby Scott, Biomedical Engineering, Honors in the Major

Marbelis Lugo, Anthropology; Political Science, Honors in the Major

Palm Beach Gardens

Kayla Rodriguez, Communication Science and Disorders, Honors in the Major

Grace Alford, Actuarial Science; Pure Mathematics, University Honors

Palm Harbor

Marie Chmara, Biomedical Engineering, Honors in the Major

Emily Hale, Media Communication Studies, University Honors

Danielle Rittman, Accounting, University Honors

Fallon Trachtman, Public Health, University Honors

Pembroke Pines

Camila Aponte, Political Science; International Affairs, Honors in the Major

Lily Drasutis, Finance, University Honors

Sydney Englehart, Meteorology, University Honors

Sami Humeda, Health Management, Policy, and Information, University Honors

Yasmine Khabou, Behavioral Neuroscience, University Honors

Elizabeth Manning, Finance, University Honors

Allyson Sullivan, Marketing, University Honors

Pine Island

Madison Tilton, English (Editing, Writing, & Media); History, University Honors

Thomas Windisch, Interdisciplinary Medical Sciences: Clinical Professions, University Honors

Trinity Iwicki, Environment and Society; Media Communication Studies, University Honors

Ponte Vedra

Samuel Airheart, Finance; Real Estate, University Honors

Sophie Barley, Asian Studies (Emphasis in Business); International Affairs, Honors in the Major

Kathryn Woodford, Biological Science, University Honors

Ponte Vedra Beach

Taylor Kaminsky, Psychology, Honors in the Major

Noura Shaya, English (Literature, Media, & Culture), Honors in the Major

Alyssa Stern, Hospitality and Tourism Management, University Honors

Port St. Joe

Lee Maestri, Classical Archaeology, Honors in the Major

Port St. Lucie

Pearl Ray, Psychology; English (Creative Writing), Outstanding Senior Scholar

Aliyah Blake, Communication Science and Disorders, Honors in the Major

Santa Rosa Beach

Santiago Botero-Echavarria, International Affairs, University Honors

Allison Kukanza, Economics, Outstanding Senior Scholar

Emilio Palombo, International Affairs; Marketing, University Honors

Nicholas Schwab, Media Communication Studies, University Honors

Spring Hill

Ellianna Holcomb, History; International Affairs, University Honors

Andrew Louis, Political Science, University Honors

St. Augustine

Natalie Watson, French; Linguistics, Honors in the Major

Emma Feeks, Nursing, University Honors

St. Petersburg

Samuel Appel, Political Science, University Honors

Harrison Betz, International Affairs; Spanish, Outstanding Senior Scholar

Melody Geiger, Meteorology, Honors in the Major

Meredith Grimm, Sport Management, University Honors

Steven LaBarbera, Finance; Risk Management/Insurance, University Honors

Mia McSheffrey, Interdisciplinary Medical Sciences: Clinical Professions, University Honors

Andrew Reilly, Biological Science, University Honors

Mallory Mei, Biological Science, University Honors

Tallahassee

Grace Bouloy, Political Science; Sociology, University Honors

Anya Byrne, Economics, University Honors

Connor Couch, Public Health, University Honors

Katrin Frederickson, Human Development and Family Sciences, University Honors

Dominic Garrett, Chemical Engineering, University Honors

Ansley Garrison, Interdisciplinary Medical Sciences: Clinical Professions, University Honors

Griffin Hanson, Accounting, University Honors

Katherine Henning, Environmental Science, University Honors

Somya Joshi, Actuarial Science, University Honors

Peninah Kimelman, Communication Science and Disorders; Linguistics, Honors in the Major

Saleha Mahboob, Interdisciplinary Medical Sciences: Clinical Professions, University Honors

Mary McGrane, Communication Science and Disorders, Honors in the Major

Kathryn Merritt, Computational Biology; Statistics, University Honors

Andy Mills, Studio Art; English (Creative Writing), Honors in the Major

Chloe Molinaro, Communication Science and Disorders, Honors in the Major

Aya Najjar, Biological Science, University Honors

Hanna Neustadter, Health Management, Policy, and Information, Outstanding Senior Scholar

Ahna Peace, Human Development and Family Sciences, Honors in the Major

Oliver Schoonover, Music Composition, Honors in the Major

Emily Southwell, Public Health, University Honors

Madeleine Stults, Psychology, Honors in the Major

Makenzie Wiggins, Mechanical Engineering, University Honors

Jake Albrighton, Finance, University Honors

Natalie Bardin, Behavioral Neuroscience, Honors in the Major

Aedan Bennett, Religion, University Honors

Julia Caterson, English (Editing, Writing, & Media), University Honors

Cristina Dabrowski, Biological Science; Music, Honors in the Major

Jordyn Dees, Information Technology; English (Editing, Writing, & Media), University Honors

Arthur Egan, Biological Science, University Honors

Elise Frierson, Cell and Molecular Neuroscience, University Honors

Alexandria Fuertes, English (Creative Writing), Honors in the Major

Ethan Hernandez, Digital Media Production; English (Creative Writing), Honors in the Major

Eve Larkin, Advertising, University Honors

Jaden McCray, Biological Science, University Honors

Kayla McLoone, International Affairs; Middle Eastern Studies, University Honors

Emma Pollard, Chemical Engineering, University Honors

Arthi Solayappan, Political Science, Honors in the Major

Audrey Steadman, Interdisciplinary Medical Sciences: Clinical Professions, University Honors

Tarpon Springs

Sydney Mullen, International Affairs; Psychology, University Honors

Alana Jakee, Economics, University Honors

Fiona Giardino, Public Health, Outstanding Senior Scholar

West Melbourne

Gia Rivers, Biochemistry, Honors in the Major

Sarah Gibson, Political Science; Interdisciplinary Social Sciences, University Honors

Danielle Marie Velez, Public Health, Honors in the Major

Natalie Medina, Finance; Commercial Entrepreneurship, University Honors

Renzo Nucci, International Affairs, University Honors

Nicolas Sanchez, Biomedical Engineering, Honors in the Major

Taylor Tieder, English (Creative Writing), Honors in the Major

West Palm Beach

Madison Berresford, Classical Civilizations, University Honors

Tre Hands, English (Creative Writing), Honors in the Major

Landon Heller, Psychology, University Honors

Ian Mutschler, Meteorology, Dual Honors

Sophia Saadati, Biological Science, University Honors

Sasha Smith, Hospitality and Tourism Management, University Honors

Ty Kenoyer, Finance; Real Estate, University Honors

Winter Garden

Andrea Emmanuelli, Geology, Honors in the Major

Winter Park

Thomas Beamish, Finance; Management Information Systems, University Honors

Elizabeth Ferguson, Accounting; Criminology, University Honors

Hanna McDaniel, Meteorology, University Honors

Sydney Neibert – Cell & Molecular Neuroscience, University Honors

Alexandra Early, Biological Science, University Honors

Lucia Villanustre, Retail Entrepreneurship, University Honors

Noah Strong, Religion; Philosophy, Honors in the Major

Anna Mitchell, Public Health; Statistics, University Honors

Kiersten Schweizer, Biological Science, University Honors

Ava Terry, Media Communication Studies, University Honors

Andrew Glennon, Finance, University Honors

Will Jackson, Chemistry, University Honors

Ian Haas, English Education, University Honors

Rheanne Walton, Theatre; Marketing, Dual Honors

Baton Rouge

Anna Blanchard, Political Science; Media Communication Studies, University Honors

Sofia Lavidalie, English (Editing, Writing, & Media), University Honors

Cordelia Keeley, Production, Honors in the Major

Crownsville

Emily Shay, Accounting, University Honors

Ellicott City

Kara Sloper, Nursing; Public Health, University Honors

MASSACHUSETTS

Jason Stelman, Finance, University Honors

Payton Nestor, Public Health, Honors in the Major

East Lansing

Anisley Coty, Political Science; History, University Honors

Ryan Ollar, Accounting; Management Information Systems, University Honors

Jessica Bellaire, Mathematics; Music, Honors in the Major

Sydney Putnam, Hospitality and Tourism Management, University Honors

Victor Achard, Marketing, University Honors

Sydney Cole, Sociology; English (Editing, Writing, & Media), Outstanding Senior Scholar

Zoe Krassos, Interdisciplinary Medical Sciences: Clinical Professions, University Honors

Julia Oliveira, Biological Science; Public Health, University Honors

Green Brook

Jacqueline Mills, Finance, University Honors

Sophie Breeze, Marketing, University Honors

Dalton Britner, Actuarial Science; Statistics, University Honors

Tinton Fall

Jack Huisman, Finance; Chinese Language (Business Concentration), University Honors

Brooke Engler, Accounting, University Honors

Matthew Danise, Finance; Real Estate, University Honors

East Quogue

Rachel Frank, English (Editing, Writing, & Media); Humanities, University Honors

New Rochelle

Jamie Cantone, Commercial Entrepreneurship, University Honors

Ethan Forberg, Management Information Systems, University Honors

Pearl River

Catherine McDermott, Sociology, University Honors

Katherine Velardo, Psychology, Outstanding Senior Scholar

Haleigh Gahan, Computer Science, University Honors

Olivia Csernecky, Behavioral Neuroscience, University Honors

NORTH CAROLINA

Moriah House, Anthropology, University Honors

Gabe Herschelman, Biological Science, University Honors

Chandler Pruett, Meteorology; Statistics, Outstanding Senior Scholar

Winston-Salem

Catherine Wondra, Interdisciplinary Medical Sciences: Clinical Professionals, University Honors

Minh Tran, Finance; Management Information Systems, University Honors

Elizabeth Schutte, Public Relations; Spanish, University Honors

Emma Roush, Media Communication Studies, Marketing

Mia Mantei, Behavioral Neuroscience, Outstanding Senior Scholar

Kate Lohrey, Biochemistry, University Honors

North Olmsted

Albert Oleksy, Statistics, University Honors

Clayton Powell, Athletic Training, University Honors

PENNSYLVANIA

Monroeville.

Tadeusz Horomanski, Actuarial Science; Statistics, University Honors

Philadelphia

Anthony Psulkowski, Industrial Engineering, Dual Honors

Rebecca Anestad, Computer Science, University Honors

SOUTH CAROLINA

Michael Kopelman, Meteorology, Honors in the Major

Mary Katherine Gelasco, Biochemistry; Music, Outstanding Senior Scholar

Brayden Poorvin, Information, Communication, and Technology, University Honors

Chattanooga

Hannah Carter, Political Science, University Honors

Sofia McDonough, Biological Science; Biomathematics, University Honors

Clarksville

Nina Chong, Chemical Engineering, University Honors

Jacob Dell, Music; Economics, University Honors

Matteo Gisellu, Interdisciplinary Medical Sciences: Clinical Professions, University Honors

Flower Mound

Jared Dasher, Political Science, University Honors

Andrew Zoch, Digital Media Production, University Honors

Robert Szot, Meteorology, Dual Honors

Jasmine Burelsmith, Dance, University Honors

San Antonio

Ethan Aguilar, Neuroscience, University Honors

Salt Lake City

Natalie Griffiths, Biological Science, University Honors

Ava Kazerani, Biological Science, University Honors

Lauren Amparo, Social Science Education, University Honors

Nicholas Vantre, Finance; Real Estate, University Honors

Melisa Sencer, Cell and Molecular Neuroscience, Honors in the Major

Benjamin Richter, Accounting, University Honors

David Quirie, Chemical Engineering, University Honors

Huiying (Amy) Ni, Media Communication Studies; Psychology, Honors in the Major

Andres Felipe Gil Arana, Neuroscience, Honors in the Major

Christiana Michael, Applied and Computational Mathematics, Honors in the Major

DOMINICAN REPUBLIC

Vivian Bernard, Biomedical Engineering, Honors in the Major

Isabella Coddington, Statistics, University Honors

Lydia Coddington, Political Science; Psychology, University Honors

Port-au-Prince

Thamengie Richard, Psychology, Honors in the Major

Diya Choudhary, Physics, Honors in the Major

Maria Aleman Martinez, Political Science; Economics, University Honors

Freydell Espinoza, Biomedical Engineering, Honors in the Major

REPUBLIC OF PANAMA

Panama city.

Astrid Daugherty, Biomedical Engineering, Honors in the Major

Santiago Lazarte, Biomedical Engineering, Honors in the Major

SOUTH KOREA

Yeonsu Kim, Nursing, University Honors

Ho Chi Minh City

Khoa Dao, Computer Science, University Honors

Linh Hoang, English Education, University Honors