# Graduate Training in Computational and Systems Biology

> **NIH NIH T32** · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · 2021 · $487,629

## Abstract

Project Summary
The objective is to support a Computational Systems Biology training program (CSBTP) to train students to
become leaders in biomedical research at the interface of biology, computation and engineering. The effort is
centered in MIT's interdisciplinary predoctoral training program in Computational and Systems Biology (CSB),
which is the primary training program at MIT for students interested in computational and systems biology and
is the only program that emphasizes interdisciplinary training and research in the field. Program faculty are
concentrated in the three founding departments – Biological Engineering (BE), Biology, and Electrical
Engineering & Computer Science (EECS) – with additional involvement of faculty from other departments.
Research interests of training faculty span a wide range of CSB-related areas, including Regulatory Genomics
and Proteomics, Precision Medicine and Medical Genomics, Molecular Biophysics and Structural Biology,
Biological Networks and Machine Learning, and Cancer Systems Biology. This proposal seeks to expand the
pool of training faculty significantly, including 7 faculty newly hired in the past 5 years who have active research
programs in the field. Students apply directly to the CSB Ph.D. program from their undergraduate or Master’s
institution and receive multi- and inter-disciplinary training in the field of computational and systems biology.
The proposal seeks funding for 10 predoctoral traineeships per year, enabling extended research rotations and
participation in special program activities. Unique aspects of the program include: (a) unusually diverse
collection of research areas across science and engineering, with highly collaborative interdisciplinary faculty;
(b) a unique core of interdisciplinary classroom subjects that combine biology, engineering, statistics and
computation; (c) intensive advising and multi-disciplinary thesis committees to optimize the training experience
for students from diverse academic backgrounds; (d) an annual retreat with participation of students and
faculty focusing on research, careers, and challenges to interdisciplinary research.

## Key facts

- **NIH application ID:** 10200074
- **Project number:** 5T32GM087237-13
- **Recipient organization:** MASSACHUSETTS INSTITUTE OF TECHNOLOGY
- **Principal Investigator:** CHRISTOPHER B BURGE
- **Activity code:** T32 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $487,629
- **Award type:** 5
- **Project period:** 2009-07-01 → 2024-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10200074

## Citation

> US National Institutes of Health, RePORTER application 10200074, Graduate Training in Computational and Systems Biology (5T32GM087237-13). Retrieved via AI Analytics 2026-05-21 from https://api.ai-analytics.org/grant/nih/10200074. Licensed CC0.

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