# Mathematical, Computational and Systems Biology

> **NIH NIH T32** · UNIVERSITY OF CALIFORNIA-IRVINE · 2023 · $361,924

## Abstract

Program Summary/Abstract
In recent years, new demands are being placed on biomedical researchers and clinicians
thanks to changes in the way we acquire, analyze and interact with data. Many areas of
biomedical science are transitioning from being data-poor and hypothesis-rich to extremely
data-rich and (comparatively) hypothesis-poor. Conducting rigorous research in this new
environment can be challenging, as it requires grounding not just in biology, but also in
mathematics, computation and statistics. This application requests support for a pre-doctoral
training program designed to produce Ph.D.s with sufficient skills in fundamental biology,
mathematical and computational modeling, and data science to attack these challenges head
on. The program is built upon a free-standing, interdisciplinary Ph.D. program that has been
developed and refined over the past dozen years, and offers training at the interface between
the biological sciences and mathematics, computer science, physics and engineering. Eight pre-
doctoral trainee slots are requested, for appointments intended to last two years each.
Highlights of the proposed program include an extensive didactic curriculum; a focus on critical
thinking skills; an emphasis on collaboration and collaborative learning; close mentoring,
opportunities to develop multiple career skills; and active student involvement. The 31 program
faculty members come from 14 different departments in five schools at the University of
California, Irvine, and conduct research on diverse topics within biology and medicine. The
program enjoys strong campus support, and an administrative and intellectual home within the
UCI Center for Complex Biological Systems, a National Center for Systems Biology with a long-
standing commitment to promoting interdisciplinary education at all academic levels. The
proposed program will prepare trainees for careers in biomedical research, teaching, and
communication in both academic and non-academic settings.

## Key facts

- **NIH application ID:** 10642829
- **Project number:** 5T32GM136624-04
- **Recipient organization:** UNIVERSITY OF CALIFORNIA-IRVINE
- **Principal Investigator:** Arthur D Lander
- **Activity code:** T32 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $361,924
- **Award type:** 5
- **Project period:** 2020-07-01 → 2025-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10642829

## Citation

> US National Institutes of Health, RePORTER application 10642829, Mathematical, Computational and Systems Biology (5T32GM136624-04). Retrieved via AI Analytics 2026-05-21 from https://api.ai-analytics.org/grant/nih/10642829. Licensed CC0.

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