
About
Scott Greenhalgh is an Associate Professor of Mathematics at Siena University (formerly Siena College) and has served as Department Chair since 2025. He holds committee roles in Data Science and Actuarial Science. Previously, he was a postdoctoral scholar at Yale University and Queen's University.
Education:
- Ph.D. in Applied Mathematics, University of Guelph
- M.S. in Applied Mathematics, Brock University
- B.Sc. in Mathematics, Brock University
His research applies mathematical modeling to public health challenges, focusing on disease intervention impact, policy evaluation, and virulence evolution. Core interests include mathematical biology, epidemiological modeling, health economics, uncertainty quantification, and hybrid dynamical systems. His work bridges mathematics, epidemiology, and health economics to address real-world disease burdens.
Publications demonstrate strong interdisciplinary focus on infectious diseases (malaria, HIV, schistosomiasis) through mathematical frameworks. Key themes include cost-effectiveness of interventions, coinfection dynamics, drug resistance evolution, and public health policy optimization. Research consistently integrates dynamical systems theory with empirical data across global health contexts.
Awards:
- MAA Project NEXT Fellow (Mathematical Association of America)
- Biomedical Data Science Innovation Lab Innovator
- REUF Fellow
- GBD Collaborator at Institute for Health Metrics and Evaluation
- Council on Undergraduate Research DMS Mid-Career Mentorship Award
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