Tigist is a doctoral student studying infectious disease epidemiology, advised by Dr. Caroline Buckee. Her research interests lie in the application of diverse statistical tools – including machine learning-based methods, spatial statistics, and traditional dynamic models – for infectious disease surveillance, with a focus on data-limited settings and marginalized populations. Prior to joining Harvard, she received her A.B. in Ecology and Evolutionary Biology, with certificates (minors) in Global Health and Health Policy and French Language in Culture, from Princeton University.
