Speaker: Reese Sy, MS is a third-year doctoral candidate in Epidemiology at Boston University School of Public Health. Her research experience combines epidemiologic methods with novel approaches to analyzing infectious disease data, with a focus on epidemic modeling, geospatial modeling, and machine learning in tuberculosis and COVID-19. She earned her B.A. in Molecular Biology and Biochemistry at Wesleyan University, and her M.S. in Epidemiology at Columbia University.