Support Biology
Dei council and dei faculty committee, biology diversity community, mit biology catalyst symposium, honors and awards, employment opportunities, faculty and research, current faculty, in memoriam, areas of research, biochemistry, biophysics, and structural biology, cancer biology, cell biology, computational biology, human disease, microbiology, neurobiology, stem cell and developmental biology, core facilities, video gallery, faculty resources, undergraduate, why biology, undergraduate testimonials, major/minor requirements, general institute requirement, advanced standing exam, transfer credit, current students, subject offerings, research opportunities, biology undergraduate student association, career development, why mit biology, diversity in the graduate program, nih training grant, career outcomes, graduate testimonials, prospective students, application process, interdisciplinary and joint degree programs, living in cambridge, graduate manual: key program info, graduate teaching, career development resources, biology graduate student council, biopals program, postdoctoral, life as a postdoc, postdoc associations, postdoc testimonials, workshops for mit biology postdocs entering the academic job market, responsible conduct of research, postdoc resources, non-mit undergraduates, bernard s. and sophie g. gould mit summer research program in biology (bsg-msrp-bio), bsg-msrp-bio gould fellows, quantitative methods workshop, high school students and teachers, summer workshop for teachers, mit field trips, leah knox scholars program, additional resources, mitx biology, department calendar, ehs and facilities, graduate manual, resources for md/phd students, preliminary exam guidelines, thesis committee meetings, guidelines for graduating, mentoring students and early-career scientists, remembering stephen goldman (1962 – 2022).
gene expression and regulation •DNA, RNA, and protein sequence, structure, and interactions • molecular evolution • protein design • network and systems biology • cell and tissue form and function • disease gene mapping • machine learning • quantitative and analytical modeling
David Bartel
Christopher burge, olivia corradin, joseph (joey) davis, amy e. keating, eric s. lander, douglas lauffenburger, gene-wei li, adam c. martin, sergey ovchinnikov, david c. page, peter reddien, francisco j. sánchez-rivera, brandon (brady) weissbourd, jonathan weissman, harikesh s. wong, michael b. yaffe.
Jonathan Weissman investigates how proteins fold into their correct shape and how misfolding impacts disease and normal physiology, while building innovative tools for exploring the organizational principles of biological systems.
In immune cells, X marks the spot(s)
Gene silencing tool has a need for speed
CHARMed collaboration creates a potent therapy candidate for fatal prion diseases
She’s fighting to stop the brain disease that killed her mother before it gets her
“Rosetta Stone” of cell signaling could expedite precision cancer medicine
Taking RNAi from interesting science to impactful new treatments
Q&A: Pulin Li on recreating development in the lab
Scientists develop a rapid gene-editing screen to find effects of cancer mutations
Computational and Systems Biology
77 Massachusetts Avenue Building 68-230A Cambridge MA, 02139
617-324-4144 [email protected]
Website: Computational and Systems Biology
Application Opens: October 1
Deadline: December 1 at 11:59 PM Eastern Time
Fee: $90.00
Terms of Enrollment
Fall Term (September)
Doctor of Philosophy (PhD)
Standardized Tests
Graduate Record Examination (GRE) is not required.
International English Language Testing System (IELTS)
- Minimum score required: 7
- Electronic scores send to: MIT Graduate Admissions
Test of English as a Foreign Language (TOEFL)
- Minimum score required: 100 (iBT) 600 (PBT)
- Institute code: 3514
- Department code: 99
Waivers of IELTS/TOEFL may be available.
*IELTS Indicator Test also accepted.
Areas of Research
- Behavioral Genetics and Genomics
- Bioengineering and Neuroengineering
- Quantitative Imaging
- Biological Networks and Machine Learning
- Cancer Systems Biology
- Cellular Biophysics
- Chemical Biology and Metabolomics
- Epigenomics
- Evolutionary and Computational Biology
- Microbiology and Systems Ecology
- Single Cell Manipulations and Measurement
- Molecular Biophysics and Structural Biology
- Precision Medicine and Medical Genomics
- Regulatory Genomics and Proteomics
- Stem Cell and Developmental Systems Biology
- Synthetic Biology and Biological Design
Financial Support
All CSB students are fully supported until they complete all the requirements of the PhD program. This support may come from sources such as a NIH T32 Training Grant; federally-sponsored fellowships from the NSF, DOD, DOD NDSEG, and DOE CSGF; and fellowships and awards from international organizations. Please see the CSB website for more information.
Application Requirements
- Online application
- Statement of objectives
- Three letters of recommendation
- Transcripts
- English proficiency exam scores
Special Instructions
Applicants are not required to complete the Subjects Taken page. All other sections are required. We generally do not review CVs, as information can be included in your online application.
This site uses cookies to give you the best possible experience. By browsing our website, you agree to our use of cookies.
If you require further information, please visit the Privacy Policy page.
Research Areas
The CSB Program faculty are involved in the 16 clickable research areas above as well as other areas. CSB students may choose any MIT faculty member as their PhD advisor, including those at MIT-affiliated institutes such as the Broad, Koch, Ragon, or Whitehead Institute.
IMAGES
VIDEO
COMMENTS
The Ph.D. program seeks to train a new breed of quantitative biologists who can take advantage of technologies at the leading edge of science and engineering to tackle fundamental and applied problems in biology.
To provide education in this emerging field, the Computational and Systems Biology (CSB) program integrates MIT's world-renowned disciplines in biology, engineering, mathematics, and computer science.
Advances in computational and systems biology require multidisciplinary teams with skill in applying principles and tools from engineering and computer science to solve problems in biology and medicine.
How to Apply to the Computational & Systems Biology PhD Program. Applications can be submitted online for the Computational & Systems Biology (CSB) PhD Program. October 1 st through December 1 st
Computational Biology gene expression and regulation •DNA, RNA, and protein sequence, structure, and interactions • molecular evolution • protein design • network and systems biology • cell and tissue form and function • disease gene mapping • machine learning • quantitative and analytical modeling
csbphd@mit.edu. Website: Computational and Systems Biology. Apply here. Application Opens: October 1. Deadline: December 1 at 11:59 PM Eastern Time. Fee: $90.00
MIT Computational & Systems Biology PhD Program (CSB) Massachusetts Institute of Technology 77 Massachusetts Avenue Bldg 68, Room 120C Cambridge, MA 02139. csbphd@mit.edu 617.324.4144. For Emergencies | Accessibility
Research in Evolutionary and Computational Biology leverages large-scale genomic, transcriptomic and related data across diverse species to unlock the molecular mechanisms of life. Gene-Wei Li investigates the rules that cells use to maintain the correct ratio of the proteins they need to survive.
Advances in computational and systems biology require multidisciplinary teams with skill in applying principles and tools from engineering and computer science to solve problems in biology and medicine.
The CSB Program faculty are involved in the 16 clickable research areas above as well as other areas. CSB students may choose any MIT faculty member as their PhD advisor, including those at MIT-affiliated institutes such as the Broad, Koch, Ragon, or Whitehead Institute.