Mathematical epidemiologist with strong training in statistics and probability, currently enrolled in the AIMS Cooperative Master’s Program in Mathematical Epidemiology (2025–2026). Applies statistical inference and mathematical modeling to the analysis of infectious disease data, using rigorous quantitative methods to generate actionable public health insights. Experienced with Bayesian approaches, nonparametric methods, and data-driven modeling, and motivated to contribute to evidence-based public health research through interdisciplinary collaboration.