# Quantitative and Computational Biology Graduate Program

> **NIH NIH T32** · PRINCETON UNIVERSITY · 2020 · $514,456

## Abstract

Abstract. Support is requested for the renewal of an integrated, multidisciplinary training program for
pre-doctoral trainees in genomics, with the goal of providing future scientists with the quantitative and
computational tools necessary for successful biological research. The genome-training program
supports students in Princeton University’s Graduate Program in Quantitative and Computational
Biology (QCB) and other partner departments, including Molecular Biology, Computer Science,
Chemistry, Chemical and Biological Engineering, Physics, and Ecology and Evolutionary Biology and is
administered by the Lewis-Sigler Institute for Integrative Genomics. Genomics trainees are able to do
their lab rotations and thesis research with any of 24 affiliated faculty in seven departments united by
common interests in quantitative and computational biology, across a wide range of research areas.
We request 10 pre-doctoral positions (our current level) each year during the proposed grant period;
trainees typically are appointed to the training grant for a total of two years. Trainees do experimental
and computational research in: experimental functional genomics in a variety of model and mammalian
systems; computational projects ranging from large-scale genomics data integration, analysis, and
visualization to human origins and evolution; single-cell genomics and other genomics technology
development; and systems biology projects ranging from microbial metabolism to the biophysics of
transcriptional regulation. Trainees have individualized, efficient training plans, which span on average
4.9 years, for those who received their Ph.D. in the last ten years. Formal training includes courses in
genomics and genomic analysis, a seminar series, a journal club / presentation course, responsible
conduct in research training appropriate for both experimental and computational research, and other
multidisciplinary activities centered in the Institute. Trainees have the opportunity to teach in an
innovative multidisciplinary introductory program for undergraduates at Princeton. Finally, trainees and
eligible faculty participate in a number of activities designed to recruit and teach individuals who are
members of under-represented minority groups.

## Key facts

- **NIH application ID:** 9934799
- **Project number:** 2T32HG003284-16
- **Recipient organization:** PRINCETON UNIVERSITY
- **Principal Investigator:** Joshua Michael Akey
- **Activity code:** T32 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $514,456
- **Award type:** 2
- **Project period:** 2004-08-18 → 2025-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9934799

## Citation

> US National Institutes of Health, RePORTER application 9934799, Quantitative and Computational Biology Graduate Program (2T32HG003284-16). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9934799. Licensed CC0.

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