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35 Sloane Physics Laboratory, 203.432.3605 http://physics.yale.edu M.Phil., Ph.D.

Chair Karsten Heeger

Director of Graduate Studies Daisuke Nagai ( [email protected] )

Professors Charles Ahn ( Applied Physics ), Yoram Alhassid, Thomas Appelquist, Charles Bailyn ( Astronomy ), O. Keith Baker, Charles Baltay ( Emeritus ), Sean Barrett, Joerg Bewersdorf ( Cell Biology ), Helen Caines, Hui Cao ( Applied Physics ), Richard Casten ( Emeritus ), Flavio Cavanna ( Adjunct ), Paolo Coppi ( Astronomy ), Sarah Demers, Michel Devoret ( Applied Physics ), Thierry Emonet ( Molecular, Cellular, and Developmental Biology ), Paul Fleury ( Emeritus ), Marla Geha ( Astronomy ), Steven Girvin, Larry Gladney, Leonid Glazman, Walter Goldberger, Jack Harris, John Harris ( Emeritus ), Karsten Heeger, Victor Henrich ( Emeritus ), Jonathon Howard ( Molecular Biophysics and Biochemistry ), Francesco Iachello ( Emeritus ), Sohrab Ismaill-Beigi ( Applied Physics ), Steve Lamoreaux, Andre Levchenko ( Biomedical Engineering ), Reina Maruyama, Simon Mochrie, Vincent Moncrief, Daisuke Nagai, Priyamvada Natarajan ( Astronomy ), Andrew Neitzke ( Mathematics ), Corey O’Hern ( Mechanical Engineering and Materials Science ), Vidvus Ozolins ( Applied Physics ), Ornella Palamara ( Adjunct ), Peter Parker ( Emeritus ), Daniel Prober ( Applied Physics ), Nicholas Read, Peter Schiffer ( Applied Physics ), Robert Schoelkopf ( Applied Physics ), John Schotland ( Mathematics ), Jurgen Schukraft ( Adjunct ), Ramamurti Shankar, Witold Skiba, A. Douglas Stone ( Applied Physics ), Hong Tang ( Engineering ), Paul Tipton, Thomas Ullrich ( Adjunct ), C. Megan Urry, Frank van den Bosch ( Astronomy ), Pieter van Dokkum ( Astronomy ), John Wettlaufer ( Earth and Planetary Sciences ), Robert Wheeler ( Emeritus ), Werner Wolf ( Emeritus ), Michael Zeller ( Emeritus )

Associate Professors Damon Clark ( Molecular, Cellular, and Developmental Biology ), David C. Moore, Michael Murrell ( Biomedical Engineering ), Nikhil Padmanabhan, David Poland, Peter Rakich ( Applied Physics ), Alison Sweeney

Assistant Professors Charles Brown, Meng Cheng, Eduardo da Silva Neto, Yu He ( Applied Physics ), Benjamin Machta, Owen Miller ( Applied Physics ), Ian Moult, Nir Navon, Laura Newburgh, Shruti Puri ( Applied Physics ), Diana Qiu ( Mechanical Engineering and Materials Science )

Lecturers Sidney Cahn, Mehdi Ghiassi-Nejad, Caitlin Hansen, Stephen Irons, Steven Konezny, Rona Ramos, Adriane Steinacker

Fields of Study

Fields include atomic physics and quantum optics; nuclear physics; particle physics; astrophysics and cosmology; condensed matter; biological physics; quantum information physics; applied physics; and other areas in collaboration with the School of Engineering & Applied Science and the departments of Applied Physics; Astronomy; Chemistry; Earth and Planetary Sciences; Molecular Biophysics and Biochemistry; and Molecular, Cellular, and Developmental Biology.

Integrated Graduate Program in Physical and Engineering Biology (PEB)

Students applying to the Ph.D. program in Physics may also apply to be part of the PEB program. See the description under Non-Degree-Granting Programs, Councils, and Research Institutes for course requirements, and http://peb.yale.edu for more information about the benefits of this program and application instructions.

Special Requirements for the Ph.D. Degree

To complete the course requirements, students are expected to take a set of seven full-term courses: six foundational courses and one elective. The six core courses ( PHYS 500 , Advanced Classical Mechanics; PHYS 502 , Electromagnetic Theory I; PHYS 506 , Mathematical Methods of Physics; PHYS 508 , Quantum Mechanics I; PHYS 510 , Quantum Mechanics II; and PHYS 512 , Statistical Physics I) serve to complete the student’s undergraduate core training in classical and quantum physics. For the seventh course, students select from the list of graduate elective courses offered by the Physics or Applied Physics departments, or courses offered by other departments with the approval of the director of graduate studies (DGS). In addition, all students are required to engage in a research project by taking PHYS 990 , Special Investigations. First-year students are also required, in addition to their core courses, to take PHYS 515 , Topics in Modern Physics Research, in the fall, and PHYS 590 , Responsible Conduct in Research for Physical Scientists, in the spring. Certain equivalent course work or successful completion of a pass-out examination may allow for the substitution or waiver of core courses for individual students.

All students must participate in a two-part qualifying event by their second year of study. Part one is a qualifying event in research consisting of an oral presentation on their research completed during PHYS 990 , Special Investigation. Part two is a written qualifying event, taken by all students at the beginning of the third term, consisting of four separate written components on classical mechanics, electromagnetic theory, statistical mechanics, and quantum mechanics. Students take each component; the components are marked and returned to the student, who is expected to correct any errors and resubmit in a week. For subjects the students have not yet encountered in graduate courses, the event serves as a pre-test. It is not a pass/fail exam, but rather a learning milestone. Students may take the written qualifying event before the research qualifying event. Both events must be completed by the end of the student's second year.

Before the end of students‘ third year of study, they must submit their thesis prospectus, as presented to and approved by their core thesis committee. Students who have completed their required course credits with satisfactory grades (two Honors and an overall High Pass average), taken the qualifying events, and submitted an acceptable thesis prospectus are recommended for admission to candidacy and to receive their M.Phil en route. Students entering the program with a master's degree in physics or a related field may waive equivalent graduate-level core courses, with approval from the DGS, without the requirement of replacing course credits. These student can advance to candidacy, after completing all other requirements, without receiving an M.Phil from the department.

There is no foreign language requirement in the physics program, but students whose first language is not English must receive, at a minimum, 25 or above on the TOEFL speak test. Admitted students who fall below this threshold will be required to take an ESL class prior to being able to teach. The teaching experience is regarded as an integral part of the graduate training program. During their studies, students are expected to serve four terms as teaching fellows, usually in the first two years. Students who require additional support from the Graduate School must teach additional terms, if needed, after they have fulfilled this teaching requirement.

Formal association with a dissertation adviser normally begins after the fourth term, after the qualifying event has been passed and required course work has been completed. An adviser from a department other than Physics can be chosen in consultation with the DGS, provided the dissertation topic is deemed suitable for a physics Ph.D.

Master’s Degrees

M.Phil. Students who have successfully advanced to candidacy qualify for the M.Phil. degree.

M.S. Students who withdraw from the Ph.D. program may be eligible to receive the M.S. degree if they have met the requirements and have not already received the M.Phil. degree. For the M.S., students must successfully complete all six core courses listed above, in addition to completing either PHYS 990 , Special Investigations, or an advanced elective (all with a satisfactory record). Certain equivalent course work or successful completion of a pass-out examination may allow individual students to substitute an elective course for a required one.

Program materials are available upon request to the Director of Graduate Studies, Department of Physics, Yale University, PO Box 208120, New Haven CT 06520-8120; email, [email protected] . 

PHYS 500a, Advanced Classical Mechanics   Yoram Alhassid

Newtonian dynamics, Lagrangian dynamics, and Hamiltonian dynamics. Rigid bodies and Euler equations. Oscillations and eigenvalue equations. Classical chaos. Introduction to dynamics of continuous systems. TTh 11:35am-12:50pm

PHYS 502b, Electromagnetic Theory I   Walter Goldberger

Classical electromagnetic theory including boundary-value problems and applications of Maxwell equations. Macroscopic description of electric and magnetic materials. Wave propagation. MW 11:35am-12:50pm

PHYS 504b, Modern Physics Measurements   Laura Newburgh and Sidney Cahn

A laboratory course with experiments and data analysis in soft and hard condensed matter, nuclear and elementary particle physics. TTh 2:30pm-5:20pm

PHYS 506a, Mathematical Methods of Physics   Walter Goldberger

Survey of mathematical techniques useful in physics. Includes vector and tensor analysis, group theory, complex analysis (residue calculus, method of steepest descent), differential equations and Green’s functions, and selected advanced topics. MW 10am-11:15am

PHYS 508a, Quantum Mechanics I   Thomas Appelquist

The principles of quantum mechanics with application to simple systems. Canonical formalism, solutions of Schrödinger’s equation, angular momentum, and spin. MW 1pm-2:15pm

PHYS 510b, Quantum Mechanics II   Meng Cheng

Approximation methods, scattering theory, and the role of symmetries. Relativistic wave equations. Second quantized treatment of identical particles. Elementary introduction to quantized fields. MW 10am-11:15am

PHYS 512b, Statistical Physics I   Yoram Alhassid

Review of thermodynamics, the fundamental principles of classical and quantum statistical mechanics, canonical and grand canonical ensembles, identical particles, Bose and Fermi statistics, phase transitions and critical phenomena, enormalization group, irreversible processes, fluctuations. TTh 11:35am-12:50pm

PHYS 515a, Topics in Modern Physics Research   Charles Brown and Karsten Heeger

A comprehensive introduction to the various fields of physics research carried out in the department and a formal introduction to scientific reading, writing, and presenting. F 10am-11:15am

PHYS 517b / ENAS 517b / MB&B 517b / MCDB 517b, Methods and Logic in Interdisciplinary Research   Corey O'Hern and Emma Carley

This half-term PEB class is intended to introduce students to integrated approaches to research. Each week, the first of two sessions is student-led, while the second session is led by faculty with complementary expertise and discusses papers that use different approaches to the same topic (for example, physical and biological or experiment and theory). Counts as 0.5 credit toward graduate course requirements.   ½ Course cr MW 6pm-7:15pm

PHYS 522a, Introduction to Atomic Physics   Nir Navon

The course is intended to develop basic theoretical tools needed to understand current research trends in the field of atomic physics. Emphasis is given to laser-spectroscopic methods including laser cooling and trapping. Experimental techniques discussed when appropriate. MW 1pm-2:15pm

PHYS 523a / CB&B 523a / ENAS 541a / MB&B 523a, Biological Physics   Yimin Luo

The course has two aims: (1) to introduce students to the physics of biological systems and (2) to introduce students to the basics of scientific computing. The course focuses on studies of a broad range of biophysical phenomena including diffusion, polymer statistics, protein folding, macromolecular crowding, cell motion, and tissue development using computational tools and methods. Intensive tutorials are provided for MATLAB including basic syntax, arrays, for-loops, conditional statements, functions, plotting, and importing and exporting data. TTh 1pm-2:15pm

PHYS 524a, Introduction to Nuclear Physics   Reina Maruyama

An introduction to a wide variety of topics in nuclear physics and related experimental techniques including weak interactions, neutrino physics, neutrinoless double beta decay, and relativistic heavy-ion collisions. The aim is to give a broad perspective on the subject and to develop the key ideas in simple ways, with more weight on physics ideas than on mathematical formalism. The course assumes no prior knowledge of nuclear physics and only elementary quantum mechanics. It is accessible to advanced undergraduates. TTh 9am-10:15am

PHYS 526b, Introduction to Elementary Particle Physics   David Poland

An overview of particle physics, including an introduction to the standard model, experimental techniques, symmetries, conservation laws, the quark-parton model, and open questions in particle physics. MW 1pm-2:15pm

PHYS 548a / APHY 548a / ENAS 850a, Solid State Physics I   Yu He

A two-term sequence (with APHY 549 ) covering the principles underlying the electrical, thermal, magnetic, and optical properties of solids, including crystal structures, phonons, energy bands, semiconductors, Fermi surfaces, magnetic resonance, phase transitions, and superconductivity. TTh 1pm-2:15pm

PHYS 549b / APHY 549b / ENAS 851b, Solid State Physics II   Sohrab Ismail-Beigi

A two-term sequence (with APHY 548 ) covering the principles underlying the electrical, thermal, magnetic, and optical properties of solids, including crystal structures, phonons, energy bands, semiconductors, Fermi surfaces, magnetic resonance, phase transitions, and superconductivity. TTh 11:35am-12:50pm

PHYS 561a / MB&B 561a / MCDB 561a, Modeling Biological Systems I   Thierry Emonet

Biological systems make sophisticated decisions at many levels. This course explores the molecular and computational underpinnings of how these decisions are made, with a focus on modeling static and dynamic processes in example biological systems. This course is aimed at biology students and teaches the analytic and computational methods needed to model genetic networks and protein signaling pathways. Students present and discuss original papers in class. They learn to model using MatLab in a series of in-class hackathons that illustrate the biological examples discussed in the lectures. Biological systems and processes that are modeled include: (i) gene expression, including the kinetics of RNA and protein synthesis and degradation; (ii) activators and repressors; (iii) the lysogeny/lysis switch of lambda phage; (iv) network motifs and how they shape response dynamics; (v) cell signaling, MAP kinase networks and cell fate decisions; and (vi) noise in gene expression. Prerequisites: MATH 115  or  116 ,  BIOL 101 – 104 , or with permission of instructors. This course also benefits students who have taken more advanced biology courses (e.g.  MCDB 200 ,  MCDB 310 , MB&B 300/301). TTh 2:30pm-3:45pm

PHYS 562b / AMTH 765b / CB&B 562b / ENAS 561b / INP 562b / MB&B 562b / MCDB 562b, Modeling Biological Systems II   Joe Howard

This course covers advanced topics in computational biology. How do cells compute, how do they count and tell time, how do they oscillate and generate spatial patterns? Topics include time-dependent dynamics in regulatory, signal-transduction, and neuronal networks; fluctuations, growth, and form; mechanics of cell shape and motion; spatially heterogeneous processes; diffusion. This year, the course spends roughly half its time on mechanical systems at the cellular and tissue level, and half on models of neurons and neural systems in computational neuroscience. Prerequisite: a 200-level biology course or permission of the instructor. TTh 2:30pm-3:45pm

PHYS 570b / ASTR 570b, High-Energy Astrophysics   Paolo Coppi

A survey of current topics in high-energy astrophysics, including accreting black hole and neutron star systems in our galaxy, pulsars, active galactic nuclei and relativistic jets, gamma-ray bursts, and ultra-high-energy cosmic rays. The basic physical processes underlying the observed high-energy phenomena are also covered. MW 2:30pm-3:45pm

PHYS 600a / ASTR 600a, Cosmology   Nikhil Padmanabhan

A comprehensive introduction to cosmology at the graduate level. The standard paradigm for the formation, growth, and evolution of structure in the universe is covered in detail. Topics include the inflationary origin of density fluctuations; the thermodynamics of the early universe; assembly of structure at late times and current status of observations. The basics of general relativity required to understand essential topics in cosmology are covered. Advanced undergraduates may register for the course with permission of the instructor. MW 11:35am-12:50pm

PHYS 603a, Euclidean-Signature Semi-Classical Analysis for Quantum Mechanics and Quantum Field Theory   Vincent Moncrief

The textbook WKB (or semi-classical) approach to solving quantum eigenvalue problems has been significantly improved and generalized in scope in recent years. New techniques offer advantages, not only over the very circumscribed, classical WKB (Wentzel, Kramers, Brillouin) methods (which are mostly limited to elementary, one dimensional quantum mechanical problems), but also over conventional perturbation theory. The corresponding “Euclidean-Signature Semi-Classical Program” is undergoing rapid, continuing development and has significant applications, not only to higher dimensional quantum mechanical problems but also to interacting quantum field theories. Unlike conventional perturbation theory this approach does not require the decomposition of a quantum Hamiltonian operator into a solvable (e.g., free field) component and its “perturbation” and, in the case of gauge theories, can maintain full, non-abelian gauge invariance at every order of a calculation. Prerequisite: PHYS 440 or 441 . A basic understanding of textbook perturbation theory and WKB techniques is strongly advised. The methods developed in this course build on and revise both of these fundamental techniques of quantum approximation theory. TTh 1pm-2:15pm

PHYS 609a, Relativistic Field Theory I   Ian Moult

The fundamental principles of quantum field theory. Interacting theories and the Feynman graph expansion. Quantum electrodynamics including lowest order processes, one-loop corrections, and the elements of renormalization theory. MW 11:35am-12:50pm

PHYS 610b / APHY 610b, Quantum Many-Body Theory   Leonid Glazman

Identical particles and second quantization. Electron tunneling and spectral function. General linear response theory. Approximate methods of quantum many-body theory. Dielectric response, screening of long-range interactions, electric conductance, collective modes, and photon absorption spectra. Fermi liquid; Cooper and Stoner instabilities; notions of superconductivity and magnetism. BCS theory, Josephson effect, and Majorana fermions in condensed matter; superconducting qubits. Bose-Einstein condensation; Bogoliubov quasiparticles and solitons. TTh 11:35am-12:50pm

PHYS 624b, Group Theory   Witold Skiba

Lie algebras, Lie groups, and some of their applications. Representation theory. Explicit construction of finite-dimensional irreducible representations. Invariant operators and their eigenvalues. Tensor operators and enveloping algebras. Boson and fermion realizations. Differential realizations. Quantum dynamical applications. HTBA

PHYS 628a / APHY 628a, Statistical Physics II   Meng Cheng

An advanced course in statistical mechanics. Topics may include mean field theory of and fluctuations at continuous phase transitions; critical phenomena, scaling, and introduction to the renormalization group ideas; topological phase transitions; dynamic correlation functions and linear response theory; quantum phase transitions; superfluid and superconducting phase transitions; cooperative phenomena in low-dimensional systems. TTh 2:30pm-3:45pm

PHYS 630b, Relativistic Field Theory II   Ian Moult

An introduction to non-Abelian gauge field theories, spontaneous symmetry breakdown, and unified theories of weak and electromagnetic interactions. Renormalization group methods, quantum chromodynamics, and nonperturbative approaches to quantum field theory. TTh 9am-10:15am

PHYS 633b / APHY 633b, Introduction to Superconductivity   Yu He

The fundamentals of superconductivity, including both theoretical understandings of basic mechanism and description of major applications. Topics include historical overview, Ginzburg-Landau (mean field) theory, critical currents and fields of type II superconductors, BCS theory, Josephson junctions and microelectronic and quantum-bit devices, and high-Tc oxide superconductors. MW 11:35am-12:50pm

PHYS 634a / APHY 634a, Mesoscopic Physics I   Michel Devoret

Introduction to the physics of nanoscale solid state systems, which are large and disordered enough to be described in terms of simple macroscopic parameters like resistance, capacitance, and inductance, but small and cold enough that effects usually associated with microscopic particles, like quantum-mechanical coherence and/or charge quantization, dominate. Emphasis is placed on transport and noise phenomena in the normal and superconducting regimes. MW 9am-10:15am

PHYS 635a, Quantum Entanglement in HEP   Keith Baker

Basic principles and applications of quantum entanglement and quantum information science at GeV to TeV energies in particle and nuclear physics are covered. Topics include: quantum superposition, quantum entanglement, entanglement entropy, quantum computing, quantum algorithms, Bell’s inequality tests, and quantum sensors. MW 1pm-2:15pm

PHYS 650a / APHY 650a, Theory of Solids I   Leonid Glazman

T 3:30pm-5:20pm

PHYS 670a, Special Topics in Biophysics   Benjamin Machta

The aim of the course is to introduce students to the approaches, methods, major results, and open questions in modern biological physics. Topics include non-equilibrium statistical physics, with applications to kinetic proof-reading and understanding molecular motors, information theory with applications to cellular signaling and phase transitions as they occur in living systems. The course is designed for graduate students in physics or a closely related field, otherwise, permission of the instructor is required. TTh 4pm-5:15pm

PHYS 675a / APHY 675a, Principles of Optics with Applications   Hui Cao

Introduction to the principles of optics and electromagnetic wave phenomena with applications to microscopy, optical fibers, laser spectroscopy, nanophotonics, plasmonics, and metamaterials. Topics include propagation of light, reflection and refraction, guiding light, polarization, interference, diffraction, scattering, Fourier optics, and optical coherence. TTh 11:35am-12:50pm

PHYS 676a / APHY 676a, Introduction to Light-Matter Interactions   Peter Rakich

Optical properties of materials and a variety of coherent light-matter interactions are explored through the classical and quantum treatments. The role of electronic, phononic, and plasmonic interactions in shaping the optical properties of materials is examined using generalized quantum and classical coupled-mode theories. The dynamic response of media to strain, magnetic, and electric fields is also treated. Modern topics are explored, including optical forces, photonic crystals, and metamaterials; multi-photon absorption; and parametric processes resulting from electronic, optomechanical, and Raman interactions. MW 4pm-5:15pm

PHYS 678b, Computing for Scientific Research   Larry Gladney

This hands-on lab course introduces students to essential computational and data analysis methods, tools, and techniques and their applications to solve problems in physics. The course introduces some of the most important and useful skills, concepts, methods, tools, and relevant knowledge to get started in scientific research broadly defined, including theoretical, computational, and experimental research. Students learn basic programming in Python, data analysis, statistical tools, modeling, simulations, machine learning, high-performance computing, and their applications to problems in physics and beyond. F 1:30pm-3:20pm

PHYS 679a, Nonlinear Optics and Lasers

Fundamental principles of nonlinear optics and lasers. Nonlinear optical susceptibilities; wave propagation and coupling in nonlinear media; harmonic, sum, and difference frequency generation; parametric amplification and oscillation; phase conjugation via four-wave mixing; self-phase modulation and solitons. Stimulated and spontaneous emission, interaction of two-level atoms with light, optical amplification. Optical resonators and threshold conditions for laser oscillation. Semiclassical laser theory, nonlinear and multi-mode lasing. Noise and quantum effects in lasers (time permitting). MW 1pm-2:15pm

PHYS 691a / APHY 691a, Quantum Optics   Shruti Puri

Quantization of the electromagnetic field, coherence properties and representation of the electromagnetic field, quantum phenomena in simple nonlinear optics, atom-field interaction, stochastic methods, master equation, Fokker-Planck equation, Heisenberg-Langevin equation, input-output formulation, cavity quantum electrodynamics, quantum theory of laser, trapped ions, light forces, quantum optomechanics, Bose-Einstein condensation, quantum measurement and control. TTh 2:30pm-3:45pm

PHYS 990a or b, Special Investigations   Staff

Directed research by arrangement with individual faculty members and approved by the DGS. Students are expected to propose and complete a term-long research project. The culmination of the project is a presentation that fulfills the departmental requirement for the research qualifying event. HTBA

PHYS 991a / ENAS 991a / MB&B 591a / MCDB 591a, Integrated Workshop   Corey O'Hern

This required course for students in the PEB graduate program involves a series of modules, co-taught by faculty, in which students from different academic backgrounds and research skills collaborate on projects at the interface of physics, engineering, and biology. The modules cover a broad range of PEB research areas and skills. The course starts with an introduction to MATLAB, which is used throughout the course for analysis, simulations, and modeling. MW 2:30pm-3:45pm

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Wright Laboratory

Exploring the invisible universe, asian americans and stem conference held at yale.

The interdisciplinary conference Asian Americans and STEM 2024 was held at Yale’s Greenberg Conference Center on May 10. The meeting brought together over 60 people from 18 institutions.  The attendees were scholars from the humanities and STEM fields who are actively engaged in exploring the history of race and racialization in their respective fields, with a particular focus on the shaping and impact of lived experiences and scholarship of Asian and Asian American scientists and their respective fields. The conference also examined the ways in which the work of these scientists has been remembered, obfuscated, or erased in standard histories of scientific discovery and invention. 

The opening keynote address was delivered by Dr. Howard Kyongju Koh,  Harvey V. Fineberg Professor of the Practice of Public Health Leadership and  former United States Assistant Secretary for Health for the U.S. Department of Health and Human Services.  There were also three panels focusing on physics, life sciences, and computer science. Each panel consisted of scholars from the STEM fields, humanities, and social sciences.

Eun-Joo Ahn, postdoctoral associate at the Yale Center for the Study of Race, Indigeneity, and Transnational Migration (RITM), one of the co-organizers of the conference, and a member of Yale’s Wright Lab said, “The attendees appreciated having a space to meet and discuss with those across disciplines. There was also the general expectation from the attendees that this conference will not be a one-off but continue, and we organizers hope that this meeting can be the inaugural conference of future ones.”

In addition to Ahn, the conference organizing committee included Wright Lab member and professor of Physics Reina Maryuma;  associate professor of  Computer Science  Theodore Kim; professor of American Studies and of History Mary Lui; Physics graduate program coordinator Rona Ramos; and Computer Science postdoctoral associate Yoehan Oh. Wright Lab senior administrative assistant Camille Simeone provided logistics support, and Wright Lab graduate students Ridge Liu and Emily Pottebaum volunteered their time to assist at the event.

For more information and the agenda, please see the conference website .

The Asian Americans and STEM 2024 conference was organized by the Asian Americans and STEM initiative at Yale and co-sponsored by Yale Faculty of Arts and Sciences (FAS), Yale School of Engineering & Applied Science (SEAS), Yale Center for the Study of Race, Indigeneity, and Transnational Migration (RITM), Traphagen Alumni Speakers Series , Yale College Office of Student Affairs.

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Five MIT faculty elected to the National Academy of Sciences for 2024

Guoping feng, piotr indyk, daniel kleitman, daniela rus, senthil todadri, and nine alumni are recognized by their peers for their outstanding contributions to research..

The National Academy of Sciences has elected 120 members and 24 international members, including five faculty members from MIT. Guoping Feng, Piotr Indyk, Daniel J. Kleitman, Daniela Rus, and Senthil Todadri were elected in recognition of their “distinguished and continuing achievements in original research.” Membership to the National Academy of Sciences is one of the highest honors a scientist can receive in their career.

Among the new members added this year are also nine MIT alumni, including Zvi Bern ’82; Harold Hwang ’93, SM ’93; Leonard Kleinrock SM ’59, PhD ’63; Jeffrey C. Lagarias ’71, SM ’72, PhD ’74; Ann Pearson PhD ’00; Robin Pemantle PhD ’88; Jonas C. Peters PhD ’98; Lynn Talley PhD ’82; and Peter T. Wolczanski ’76. Those elected this year bring the total number of active members to 2,617, with 537 international members.

The National Academy of Sciences is a private, nonprofit institution that was established under a congressional charter signed by President Abraham Lincoln in 1863. It recognizes achievement in science by election to membership, and — with the National Academy of Engineering and the National Academy of Medicine — provides science, engineering, and health policy advice to the federal government and other organizations.

Guoping Feng

Guoping Feng is the James W. (1963) and Patricia T. Poitras Professor in the Department of Brain and Cognitive Sciences. He is also associate director and investigator in the McGovern Institute for Brain Research, a member of the Broad Institute of MIT and Harvard, and director of the Hock E. Tan and K. Lisa Yang Center for Autism Research.

His research focuses on understanding the molecular mechanisms that regulate the development and function of synapses, the places in the brain where neurons connect and communicate. He’s interested in how defects in the synapses can contribute to psychiatric and neurodevelopmental disorders. By understanding the fundamental mechanisms behind these disorders, he’s producing foundational knowledge that may guide the development of new treatments for conditions like obsessive-compulsive disorder and schizophrenia.

Feng received his medical training at Zhejiang University Medical School in Hangzhou, China, and his PhD in molecular genetics from the State University of New York at Buffalo. He did his postdoctoral training at Washington University at St. Louis and was on the faculty at Duke University School of Medicine before coming to MIT in 2010. He is a member of the American Academy of Arts and Sciences, a fellow of the American Association for the Advancement of Science, and was elected to the National Academy of Medicine in 2023.

Piotr Indyk

Piotr Indyk is the Thomas D. and Virginia W. Cabot Professor of Electrical Engineering and Computer Science. He received his magister degree from the University of Warsaw and his PhD from Stanford University before coming to MIT in 2000.

Indyk’s research focuses on building efficient, sublinear, and streaming algorithms. He’s developed, for example, algorithms that can use limited time and space to navigate massive data streams, that can separate signals into individual frequencies faster than other methods, and can address the “nearest neighbor” problem by finding highly similar data points without needing to scan an entire database. His work has applications on everything from machine learning to data mining.

He has been named a Simons Investigator and a fellow of the Association for Computer Machinery. In 2023, he was elected to the American Academy of Arts and Sciences.

Daniel J. Kleitman

Daniel Kleitman, a professor emeritus of applied mathematics, has been at MIT since 1966. He received his undergraduate degree from Cornell University and his master’s and PhD in physics from Harvard University before doing postdoctoral work at Harvard and the Niels Bohr Institute in Copenhagen, Denmark.

Kleitman’s research interests include operations research, genomics, graph theory, and combinatorics, the area of math concerned with counting. He was actually a professor of physics at Brandeis University before changing his field to math, encouraged by the prolific mathematician Paul Erdős. In fact, Kleitman has the rare distinction of having an Erdős number of just one. The number is a measure of the “collaborative distance” between a mathematician and Erdős in terms of authorship of papers, and studies have shown that leading mathematicians have particularly low numbers.

He’s a member of the American Academy of Arts and Sciences and has made important contributions to the MIT community throughout his career. He was head of the Department of Mathematics and served on a number of committees, including the Applied Mathematics Committee. He also helped create web-based technology and an online textbook for several of the department’s core undergraduate courses. He was even a math advisor for the MIT-based film “Good Will Hunting.”

Daniela Rus

Daniela Rus, the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science, is the director of the Computer Science and Artificial Intelligence Laboratory (CSAIL). She also serves as director of the Toyota-CSAIL Joint Research Center.

Her research on robotics, artificial intelligence, and data science is geared toward understanding the science and engineering of autonomy. Her ultimate goal is to create a future where machines are seamlessly integrated into daily life to support people with cognitive and physical tasks, and deployed in way that ensures they benefit humanity. She’s working to increase the ability of machines to reason, learn, and adapt to complex tasks in human-centered environments with applications for agriculture, manufacturing, medicine, construction, and other industries. She’s also interested in creating new tools for designing and fabricating robots and in improving the interfaces between robots and people, and she’s done collaborative projects at the intersection of technology and artistic performance.

Rus received her undergraduate degree from the University of Iowa and her PhD in computer science from Cornell University. She was a professor of computer science at Dartmouth College before coming to MIT in 2004. She is part of the Class of 2002 MacArthur Fellows; was elected to the National Academy of Engineering and the American Academy of Arts and Sciences; and is a fellow of the Association for Computer Machinery, the Institute of Electrical and Electronics Engineers, and the Association for the Advancement of Artificial Intelligence.

Senthil Todadri

Senthil Todadri , a professor of physics, came to MIT in 2001. He received his undergraduate degree from the Indian Institute of Technology in Kanpur and his PhD from Yale University before working as a postdoc at the Kavli Institute for Theoretical Physics in Santa Barbara, California.

Todadri’s research focuses on condensed matter theory. He’s interested in novel phases and phase transitions of quantum matter that expand beyond existing paradigms. Combining modeling experiments and abstract methods, he’s working to develop a theoretical framework for describing the physics of these systems. Much of that work involves understanding the phenomena that arise because of impurities or strong interactions between electrons in solids that don’t conform with conventional physical theories. He also pioneered the theory of deconfined quantum criticality, which describes a class of phase transitions, and he discovered the dualities of quantum field theories in two dimensional superconducting states, which has important applications to many problems in the field.

Todadri has been named a Simons Investigator, a Sloan Research Fellow, and a fellow of the American Physical Society. In 2023, he was elected to the American Academy of Arts and Sciences

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Leading Supply Chain Innovation Program

Drive innovation across the supply chain life cycle by leveraging new technologies..

Strategic innovation in supply chain management is crucial to secure a competitive advantage. Today’s supply chain leaders must embrace curiosity and intentionality in steering their organizations toward efficient, transformative digital solutions.

The Leading Supply Chain Innovation Program equips you to effectively integrate new technologies into your supply chain operations.

Over six weeks, you’ll discover practical methods for fostering resilience, promoting sustainability, and creating value by incorporating artificial intelligence (AI) and the Internet of Things (IoT) into your supply chains.

You’ll also explore hands-on case studies, offering profound insights into the decision-making approaches of leaders who’ve dealt with the intricate challenge of transforming a supply chain organization.

Walk away with insights you can instantly apply in your context, enabling you to lead transformations across the entire supply chain life cycle using AI and IoT. 

Program Dates

Registration closes: July 09, 2024

Start date: July 17, 2024

Program Details

Length: 6 weeks (excluding orientation), online

Commitment: 6–8 hours per week

Fee: $2,800

Outcome: Learn to lead innovation and tech integration within your supply chain.

Yale SOM developed this program to be administered by our program collaborator, GetSmarter. Please direct all program-related inquiries, including questions about fees and registration, to GetSmarter.

About the Program

What to expect.

• Gain real-world tools, frameworks, and techniques for reinventing your supply chain through the adoption of disruptive technologies
• Bolster your organization’s resilience with a practical toolkit for navigating unexpected supply chain disruption
• Grow your organization’s competitive advantage by enhancing your ability to strategically create value across the supply chain life cycle
• Learn to transform your supply chain organization with hands-on insights from leaders who’ve successfully transformed theirs 
• Develop your ability to construct future-ready supply chains with a strong commitment to environmental sustainability and social responsibility 

Who Should Attend

• Current supply chain leaders who already have around a decade’s experience working with the key functions of the supply chain life cycle
• Leaders or high-level managers working within a supply chain organization who wish to take charge of overseeing the strategic adoption of new technologies
• Professionals working within a supply chain company who are interested in progressing into upper-level management or a leadership role 
• Operations or logistics managers, change management experts, and growth strategists who have a particular interest in the digitization of supply chains  
• Orientation module
• Module 1: Enabling supply chain management excellence
• Module 2: Creating value through supply chain innovation
• Module 3: Reinventing supply chain operations with AI and IoT
• Module 4: Building resilient supply chains
• Module 5: Building responsible supply chains
• Module 6: Leading supply chain transformation 

Program Convener

Professor of Operations Management

Areas of Expertise: Analytics, Manufacturing, Operations, Operations Research, Service Operations, Strategy, Supply Chain, Sustainability, Technological Innovation

Sang Kim is a Professor of Operations Management at the Yale School of Management. Professor Kim specializes in supply chain management and service operations, with a particular interest in management of business process failures. He develops analytical models based on operations research and game theory to study practice-driven problems. His recent research interests include managing low-probability/high-impact disruptions in supply chains, sustainable operations, and social responsibility in supply chain management. Using the risk management framework, he has studied problems in application areas such as aftermarkets in the aerospace and defense industry, environmental regulation, and social enterprises in developing economies. Kim’s research has been published in top management journals including  Management Science, Operations Research,  and  Marketing Science . Currently he serves as an associate editor at  Management Science  and  Manufacturing & Service Operations Management . Professor Kim received his PhD degree in Operations and Information Management from the Wharton School, University of Pennsylvania, MS in Scientific Computing & Computational Mathematics from the Stanford University, and BA in Physics from the University of Pennsylvania.

Registration Information

Registration closes:  July 09, 2024 Program starts with orientation:  July 17, 2024

There are no prerequisites for this program. Register to get started. Our online program partner, GetSmarter, will welcome you and guide you through the steps to secure your place in the program.

Program Fee Assistance

A program fee reduction of 15% is available for those working in the nonprofit or government sectors; Yale University alumni; small groups of 3-6; and those who have previously participated in a Yale Executive Education program with Yale SOM or 2U/GetSmarter.*

*Discounts cannot be combined

This program does not qualify for veteran financial aid or veterans benefits at this time.

Program Collaborator

This program is presented entirely online in collaboration with leader in digital education, GetSmarter , part of edX. Technology meets academic rigor in GetSmarter’s people-mediated model, which enables lifelong learners across the globe to obtain industry-relevant skills that are certified by the world’s most reputable academic institutions. This interactive, supportive teaching model is designed for busy professionals and results in unprecedented certification rates for online programs. 

View the online Leading Supply Chain Innovation Program on the GetSmarter website.  

Modules are released on a weekly basis and can be completed in your own time and at your own pace.  

Speakers Announced for College’s 2024 Graduate Commencement Ceremony

Alum Ana Maria Rey (Ph.D. ’04, physics), a Fellow of the National Institute of Standards and Technology (NIST) and JILA, will be the keynote speaker at the University of Maryland’s College of Computer, Mathematical, and Natural Sciences  2024 Graduate Commencement Ceremony  on May 20, 2024. Ph.D. graduate Tahseen Rabbani was selected as the student speaker for the ceremony. The ceremony will honor the college's August 2023, December 2023 and May 2024 graduates receiving doctoral and master's degrees and graduate certificates.

Ana Maria Rey, Keynote Speaker

Rey is a theoretical physicist and Fellow of the National Institute of Standards and Technology (NIST) and JILA, a joint research institute of NIST and the University of Colorado Boulder, and an adjunct professor of physics at the University of Colorado Boulder.

She studies the scientific interface between atomic, molecular and optical physics; condensed matter physics; and quantum information science. Rey also develops new techniques for controlling quantum systems for applications ranging from quantum simulations/information to time and frequency standards. Her work has been fundamental in breakthroughs in physics, such as developing accurate atomic clocks and dark matter sensors using quantum crystals.

Rey earned her Ph.D. from UMD, where she trained under Charles Clark and Theodore Kirkpatrick. She was inducted into the National Academy of Sciences in 2023 and the Academia Colombiana de Ciencias Exactas, Físicas y Naturales (Colombian Academy of Exact, Physical and Natural Sciences) in her home country of Colombia in 2023.

She is a Fellow of the American Physical Society and has earned many awards for her research, including the MacArthur Fellowship, Blavatnik National Award for Young Scientists, Presidential Early Career Award for Scientists and Engineers, Department of Defense Vannevar Bush Faculty Fellowship, Alexander M. Cruickshank Lectureship Award, Early Career National Hispanic Scientist of the Year, Maria Goeppert Mayer Award, and Great Minds in STEM Most Promising Scientist Award.

Rey participates in several quantum research initiatives, including the CUbit Quantum Initiative and the Quantum Systems through Entangled Science and Engineering (Q-SEnSE) center funded by the U.S. National Science Foundation (NSF). In 2023, she became co-director of the JILA Physics Frontiers Center, an NSF-funded science center within JILA to realize precise measurements and cutting-edge manipulations to harness increasingly complex quantum systems.

Tahseen Rabbani, Student Speaker

Tahseen Rabbani will graduate in May 2024 with a Ph.D. in computer science. Advised by Assistant Professor Furong Huang, Rabbani’s dissertation focuses on efficient algorithms for machine learning (ML). His primary research interests are model compression, distributed learning, security and data privacy. He is a proponent of technological equity and environmentally friendly artificial intelligence (AI)/ML. In June, Rabbani will begin a postdoctoral position under Mary-Anne Hartley at Yale University’s LiGHT lab, which focuses on AI/ML for global health and humanitarian response technologies, where he will work on the deployment and training of large models in low-resource settings.

As a Ph.D. student, Rabbani was an RSAC National  Security Scholar and a National Science Foundation COMBINE Fellow and was nominated as an Apple Scholar in AI/ML. He published first-authored papers and served on the program committees of major AI/ML conferences including Neural Information Processing Systems (NeurIPS), the International Conference on Learning Representations (ICLR) and the International Conference on Machine Learning (ICML).

Rabbani began his doctoral career at UMD in mathematics in 2018, specializing in error correction and combinatorial group theory, before taking a keen interest in ML and transferring to computer science. As a math graduate student, he published research in the Journal of Algebra & Number Theory and Finite Fields and their Applications (FQ14) and was awarded a Monroe Martin & Seymour Goldberg Spotlight Award. In addition to his doctoral work, Rabbani is an adjunct lecturer of calculus at Georgetown University and a research scientist at the D.C.-based quantum startup Error Corp.

Before joining UMD, Rabbani was a mathematics master’s student at NYU and a software developer at Epic Systems. He completed his B.A. in mathematics at the University of Virginia where he was an Echols Scholar. He enjoys cooking, traveling and all things related to the NBA.

About the College of Computer, Mathematical, and Natural Sciences

The College of Computer, Mathematical, and Natural Sciences at the University of Maryland educates more than 8,000 future scientific leaders in its undergraduate and graduate programs each year. The college's 10 departments and nine interdisciplinary research centers foster scientific discovery with annual sponsored research funding exceeding $250 million.

Media Relations Contact

Abby robinson, related news.

• Furong Huang

Announcements

Updates on campus events, policies, construction and more.

• A Call to Inclusion symposium May 21: Centering disability inclusion 
• Dean’s 2023 State of the School address available online
• Notice of data security incident
• COVID-19: Medical Campus updates

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Commencement 2024

“Never underestimate your ability to facilitate profound positive changes.” Commencement ceremonies celebrate the graduating Class of 2024.

Video: Huy Mach/Washington University School of Medicine in St. Louis

Washington University School of Medicine graduates, faculty, family and friends celebrated Commencement with recognition and hooding ceremonies on May 10, 12 and 13, 2024.

Scroll below for coverage of School of Medicine Commencement ceremonies,  or jump to the ceremony for graduates of:

• All programs (universitywide)
• Medical Education (MD)
• Audiology & Communication Sciences (PACS)
• Biology & Biomedical Sciences (DBBS)
• Master’s Programs
• Occupational Therapy (OT)
• Physical Therapy (PT)

Class Acts 2024: Caellagh Catley

“I chose to go into medicine because I want to help people,” says MD Class of 2024 graduate Caellagh Catley. “But I can’t conscientiously do that without considering how the environmental impact of my work may harm others.” Among Catley’s research projects as a WashU Medicine student was work that helped reduce carbon emissions of the hospital’s operating rooms by over 60%.

Read Caellagh’s story

All-University Ceremony

Monday, May 13, 2024, 9 a.m. | Francis Olympic Field – Danforth Campus All-University Commencement Universitywide Commencement livestream and details »

Keynote Speaker :  Jennifer Coolidge , award-winning actor known for her numerous iconic roles in film and on television; Coolidge received an honorary Doctor of Fine Arts during the ceremony.

Respect the need to be something very odd, not what is expected. Get to know yourself. Accept who you are, and love that person because this is the moment. You already are everything you need to be. — Jennifer Coolidge WashU Commencement Speaker

Read the full story: Coolidge shares message of self-acceptance at WashU Commencement »

Photos by Matt Miller and Washington University. Click to enlarge.

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MD Ceremony

Sunday, May 12, 2024, 4 p.m. | The Ritz-Carlton, St. Louis Commencement Recognition Ceremony MD Commencement program (PDF) » MD livestream recording »

Keynote Speaker:  Dean Schillinger, MD , primary care physician, scientist, author and public health advocate widely recognized as an expert in health communication and for work related to improving the health of marginalized populations.

Match Day 2024 » Undaunted by a pandemic, and the first class to complete a new curriculum emphasizing early clinical immersion and health equity, the Class of 2024 celebrated each other as they learned their residency matches.

At the MD Commencement ceremony Sunday evening, bagpipes, flashing cameras and smiling faces ushered in the graduating Class of 2024 at the Ritz-Carlton in Clayton, Mo. Most in the class entered medical school during a global pandemic and with the launch of the Gateway Curriculum , the first overhaul of the school’s program of studies in more than two decades.

David H. Perlmutter, MD , executive vice chancellor for medical affairs, the George and Carol Bauer Dean of the School of Medicine and the Spencer T. and Ann W. Olin Distinguished Professor, praised the class for its resilience, hard work and commitment tomedicine and science. “Medicine has changed, and medicine will continue to change,” he said. “Each generation figures out how to drive this vocation toward the best version of itself and, from what I know about this class, you will find a way to bring your own talents to its challenges. But I want to point out what hasn’t changed — what will never change: that we have all chosen a profession that has imperfection and failure at its very core. Human bodies fail, and they suffer, and they hurt each other, and we are the ones charged with fixing them, comforting them and figuring out ways to get them back on their feet, ways to help them live as long and as healthfully as possible.”

David H. Perlmutter, MD, addresses the MD Class of 2024. Perlmutter is executive vice chancellor for medical affairs, the George and Carol Bauer Dean of the School of Medicine and the Spencer T. and Ann W. Olin Distinguished Professor.

Urgent public health threats of health inequities caused by racism are another issue physicians must address, according to the keynote speaker, Dean Schillinger, MD , a general internist, primary care physician and a professor of medicine at University of California, San Francisco. Food and housing insecurity, crowded living conditions, poor working conditions, incarceration and mistrust in medicine are serious public health threats, said Schillinger, an expert in public health and policy.

He advised graduates to “purposefully and consistently elicit and attend to your patients’ stories, breaking down the walls that divide us and opening up more doors to see into and identify with each other’s real lives and experiences. … You should tell these stories to others inside and outside your circles, creating opportunities for more mutual understanding, empathy and positive change. These narrative acts will help us to feel more connected to each other. And in so doing, we will become more generous, more inclusive and more healing in how we relate to each other as individuals and communities, and in how we craft health and social policy for us all.”

Dean Schillinger, MD, professor of medicine at University of California, San Francisco, delivers the keynote address to the WashU Medicine MD Class of 2024.

Photos by Matt Miller. Click to enlarge.

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Audiology & Communication Sciences

Monday, May 13, 2024, 1:30 p.m. | Eric P. Newman Education Center Commencement Recognition Ceremony PACS Commencement program (PDF) » PACS livestream recording »

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Biology & Biological Sciences

Friday, May 10, 2024, 9:30 a.m. | The 560 Music Center Hooding & Recognition Ceremony DBBS Commencement program (PDF) » DBBS livestream recording »

Keynote Speaker : Vipula “Vi” Shukla, PhD, senior program officer for agriculture at the Bill & Melinda Gates Foundation; advocate for plant and agricultural science, and champion of the idea that science and technology have the power to change people’s lives for the better.

No matter what path you take, your work matters. It matters to you and your loved ones, and it also matters to the bigger world that you’re a part of. … Recognize your privilege. Don’t be afraid to take risks. Make joy a daily part of your work. And practice optimism to help you find your purpose. — Vipula “Vi” Shukla, PhD Bill & Melinda Gates Foundation DBBS Commencement Speaker

Click photos to enlarge.

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Joint Master’s Programs

Friday, May 10, 2024, 4 p.m. | Eric P. Newman Education Center Commencement & Recognition Ceremony for master’s programs in Applied Health Behavior Research, Data Science and Biostatistics, Clinical Investigation, Genetic Counseling, Medical Physics, Population Health Sciences, and Predoctoral Clinical Research (TL1). Joint Master’s Commencement program (PDF) »

Keynote Speaker : Matifadza Hlatshwayo Davis, MD, MPH, director of health for the city of St. Louis, and internationally recognized infectious diseases physician and expert on public health and health equity.

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Occupational Therapy

Monday, May 13, 2024, 1 p.m. | Sheldon Concert Hall Diploma Ceremony OT livestream recording »

Keynote Speaker : Ian Rice, PhD, MS OT, director of Diversity Equity Inclusion / Special Projects, Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign

Remember this passion right now, specifically what attracted you to this point. Let that guide you. Never underestimate your ability to facilitate profound positive changes in the lives of the people you touch. … We as occupational therapists are uniquely positioned to intervene and inform clinical practice with one hand on the evidence and another on the whole person. My OT training has helped me better advocate for solutions, and it will serve you in whatever form of practice you seek. — Ian Rice, PhD, MS OT University of Illinois at Urbana-Champaign OT Commencement Speaker

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Physical Therapy

Monday, May 13, 2024, 1:30 p.m. | Khorassan Ballroom, The Chase Park Plaza Diploma Distribution & Hooding Ceremony PT livestream recording »

Faculty Speaker : Suzanne L. Cornbleet, PT, DPT, associate professor of physical therapy and of orthopedic surgery, Washington University School of Medicine

Be open to wherever your path leads you. Always remember your why. And be true to yourself and trust your instincts. Always stay aligned with your values, and rely on your moral compass. If you do this when it comes to the most difficult decisions, you will certainly choose the right path for you. — Suzanne L. Cornbleet, PT, DPT Washington University School of Medicine PT Commencement Speaker