Jeff Eaton is an Associate Professor in Epidemiology in Harvard T.H. Chan School of Public Health. He holds an Master’s degree in Statistics from the University of Washington and PhD in Infectious Disease Epidemiology from Imperial College London. His research focuses on developing new mathematical models, statistical methods, and surveillance tools to characterize HIV epidemic trends, transmission dynamics and the demographic impacts of HIV, particularly in sub-Saharan Africa. Eaton co-chairs the UNAIDS Reference Group on Estimates, Modelling and Projections, a technical advisory group that provides scientific guidance to UNAIDS and partner organizations on the data, methods, and tools used to quantify the global HIV epidemic. His team in the MRC Centre for Global Infectious Disease Analysis at Imperial College London develops software tools used annually by national HIV programmes to produce national and subnational epidemiologic estimates to guide their response to HIV, in collaboration with UNAIDS, PEPFAR, Global Fund, CDC, and other organizations. He has a longstanding interest in demographic surveillance, population cohort studies, and methods for collecting and analysing longitudinal data. Key collaborations include with the Manicaland Centre for Public Health Research in eastern Zimbabwe and the ALPHA Network of population HIV cohort studies.