# Pre-Doctoral Training Program in Computational Medicine

> **NIH NIH T32** · JOHNS HOPKINS UNIVERSITY · 2020 · $337,439

## Abstract

Project Summary
We will create the Johns Hopkins University “Pre-Doctoral Training Program in Computational Medicine”, in the
research area of Bioinformatics and Computational Biology. The participating departments are Biomedical
Engineering and Applied Mathematics & Statistics. We are requesting 6 pre-doctoral training slots per year. Our
trainees will learn how to: develop models of biological systems in health and disease; constrain these models
using data collected from patients; apply models to deliver improved diagnoses and therapies. They will learn
this through a combination of focused course work, and dissertation research in the laboratories of program
faculty. They will gain experience with oral presentation, grant writing and teaching. They will receive responsible
conduct of research training that goes beyond current offerings to meet the needs of computational medicine
researchers. They will be part of a community of students and faculty. We will put in place novel programs that
increase diversity in training by creating an applicant pool of undergraduates who have done substantial research
rotations with our program faculty. Graduates will be well prepared and sought after to fill the growing need for
researchers trained in computational medicine in both industry and academia. Support of our program will
contribute to achieving the goal of precision medicine.

## Key facts

- **NIH application ID:** 9954097
- **Project number:** 5T32GM119998-04
- **Recipient organization:** JOHNS HOPKINS UNIVERSITY
- **Principal Investigator:** Feilim C Mac Gabhann
- **Activity code:** T32 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $337,439
- **Award type:** 5
- **Project period:** 2017-07-01 → 2022-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9954097

## Citation

> US National Institutes of Health, RePORTER application 9954097, Pre-Doctoral Training Program in Computational Medicine (5T32GM119998-04). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9954097. Licensed CC0.

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