My research addresses the infectious disease challenges of aging populations, with a focus on respiratory infections, vaccine effectiveness, and antimicrobial resistance. I use quantitative epidemiology, causal inference, and computational modeling to understand disease risk, evaluate prevention strategies, and inform approaches to healthy aging.
My quantitative expertise spans statistical analysis, causal inference, and computational modeling, supported by training in R, Python, and SAS. I also serve as a peer reviewer for journals including JAMA Internal Medicine, JAMA Network Open, Emerging Infectious Diseases, and the Bulletin of the World Health Organization.
Interests
- Healthy aging and infectious diseases
- Respiratory infections, vaccines, and antimicrobial resistance
- Quantitative epidemiology, causal inference, and computational modeling
Education
PhD, Epidemiology & BiostatisticsUniversity of Georgia
MS, BiostatisticsUniversity of Georgia