# Institutional Training Grant in Genomic Science

> **NIH NIH T32** · WASHINGTON UNIVERSITY · 2024 · $298,902

## Abstract

Project Summary Abstract
This proposal is for a renewal of NIH funding for Washington University’s Genome Analysis Training Program
(GATP). The overall goal of the GATP is to train a diverse group of multidisciplinary, quantitatively
sophisticated leaders in genomic technology, science, and medicine. In this renewal, we are focusing
exclusively on training predoctoral students, because Washington University has an outstanding pool of highly
talented PhD and MD/PhD students from which we can recruit the very best for the GATP. We are requesting
funds to support 8 predoctoral trainees. If we are granted these slots the university will provide matching funds
to support an additional 4 trainees.
The GATP is designed to produce trainees who are sophisticated in their knowledge of both the experimental
and the mathematical / computational aspects of genome science. This is achieved through a rigorous set of
required classes and through research-based training. We have an outstanding group of 37 training faculty
who run world-class research labs and provide careful mentoring to our trainees. Our PhD programs in
Computational Biology and Genetics/Genomics were jointly ranked #1 in the nation in the 2018 US News &
World Report analysis, tied with MIT and Stanford.
We have made significant changes to our training program based on feedback from our trainees. Our trainees
consistently express an interest in learning about career paths that utilize their skills. In response we have
designed a set of mini-internship programs that take advantage of our connections to the pharmaceutical and
biotechnology industries, and to clinical genomics services. The opportunities are aimed at cultivating the
leadership capability of our trainees and fostering a broad understanding of the different work environments
and career paths in which genomics plays an important role. Many of our trainees are also interested in how
machine learning is applied to problems in the genome sciences. As such we made changes to the GATP that
ensure that all trainees are exposed to the foundational concepts underlying machine learning and artificial
intelligence. We have also made changes to our evaluation protocols to make sure that we are meeting our
goals in a way that is responsive to our trainees.

## Key facts

- **NIH application ID:** 10845484
- **Project number:** 5T32HG000045-25
- **Recipient organization:** WASHINGTON UNIVERSITY
- **Principal Investigator:** MICHAEL R BRENT
- **Activity code:** T32 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $298,902
- **Award type:** 5
- **Project period:** 1997-04-01 → 2025-08-13

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10845484

## Citation

> US National Institutes of Health, RePORTER application 10845484, Institutional Training Grant in Genomic Science (5T32HG000045-25). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10845484. Licensed CC0.

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