# Mathematical, Computational, and Predictive Modeling Core

> **NIH NIH P20** · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · 2024 · $208,419

## Abstract

PROJECT SUMMARY: Laurent Hebert-Dufresne, PhD, MCP Core (Research Core 2)
Reducing the enormous burden of global infectious diseases remains one of the most important public health
problems in the world. This realization was brought to the attention of the world during the COVID-19
pandemic. Mathematical and Computational Predictive (MCP) modeling is essential for understanding the
epidemiology and mechanistic biology behind the spread of global infectious diseases. Modeling can play a
critical role, for example, in improving our understanding and prediction of antimicrobial resistance, in the
design of new antimicrobials and diagnostic tests, and in clarifying the complexities of the immune response
involved in vaccine-induced protection. To fully exploit the potential of MCP modeling in global infectious
disease research, however, we need to continue developing a common language and purpose that is still often
lacking between the biological and computational worlds. In Phase I of this TGIR COBRE, we made significant
progress in bridging this biomedical-computational “culture gap” through collaborative research and reciprocal
education about each group’s domain expertise. In Phase 2 of this TGIR COBRE program, the MCP Core will
continue to advance this mission by making its primary goal to serve the TGIR COBRE by bringing MCP
modeling to bear on global infectious diseases research at UVM and to support our developing research
project leaders (RPL) and junior faculty. At the same time, the MCP Core will continue its crucially important
and already successful program of bridging the scientific culture gap between scientists with biomedical
backgrounds and those with computational modeling expertise. To do this, the MCP Core will expand the TGIR
COBRE institutional strength in Phase 2 by actively fostering cross-campus research projects focused on
global infectious disease. Particular focus will be given to developing RPLs and creating funded research
projects led by investigators from both the biomedical and mathematical/computational domains. These goals
will be pursued in three Specific Aims: 1) to provide expertise and services directly to TGIR COBRE research
project leaders, pilot awardees, and junior faculty, as well as other TGIR faculty to build and test computational
models of globally important infectious diseases, 2) to expand and mature the educational components needed
to train the next generation of scientists to employ both biomedical and computational research tools to reduce
the global burden of infectious disease, and 3) to build institutional strength by fostering the development of
fundable cross-campus research projects that bring biomedical and mathematical/computational scientists
together in synergistic collaborations focused on global infectious disease.

## Key facts

- **NIH application ID:** 10894869
- **Project number:** 5P20GM125498-07
- **Recipient organization:** UNIVERSITY OF VERMONT & ST AGRIC COLLEGE
- **Principal Investigator:** Laurent Hébert-Dufresne
- **Activity code:** P20 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $208,419
- **Award type:** 5
- **Project period:** 2018-09-15 → 2028-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10894869

## Citation

> US National Institutes of Health, RePORTER application 10894869, Mathematical, Computational, and Predictive Modeling Core (5P20GM125498-07). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10894869. Licensed CC0.

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