Rate My Professor Jeffrey Imai-Eaton

Jeffrey Imai-Eaton is an Associate Professor of Epidemiology in the Department of Epidemiology at Harvard T.H. Chan School of Public Health, where he also serves as Associate Director of the Center for Communicable Disease Dynamics. He earned a Master’s degree in Statistics from the University of Washington and a PhD in Infectious Disease Epidemiology from Imperial College London. Prior to joining Harvard, Imai-Eaton was affiliated with the MRC Centre for Global Infectious Disease Analysis at Imperial College London, where his team developed software tools utilized annually by national HIV programmes to generate national and subnational epidemiologic estimates. These tools were created in collaboration with organizations including UNAIDS, PEPFAR, the Global Fund, and the CDC. His career emphasizes advancing methods for HIV epidemiology through mathematical modeling and data analysis.

Imai-Eaton's research specializes in developing mathematical models, statistical methods, and surveillance tools to characterize HIV epidemic trends, transmission dynamics, and demographic impacts, with a particular emphasis on sub-Saharan Africa. He maintains a longstanding interest in demographic surveillance, population cohort studies, and techniques for collecting and analyzing longitudinal data. Key collaborations include the Manicaland Centre for Public Health Research in eastern Zimbabwe and the ALPHA Network of population HIV cohort studies. As co-chair of the UNAIDS Reference Group on Estimates, Modelling and Projections, he provides scientific guidance to UNAIDS and partners on data, methods, and tools for quantifying the global HIV epidemic. Recent publications include "Appraising the HIV prevention cascade methodology to improve HIV prevention targets: Lessons learned from a general population pilot study in east Zimbabwe" (2026, PLOS Glob Public Health); "Age, sex-and what else? Rethinking priorities to close gaps in the HIV care cascade" (2026, J Int AIDS Soc); "Individual and population-level risk factors for new HIV infections among adults in Eastern and Southern Africa" (2026, Nat Commun); "Identifying priority populations for HIV interventions using acquisition and transmission indicators: a combined analysis of 15 mathematical models from ten African countries" (2026, Lancet HIV); and "Pregnancy reporting and biases in under-five mortality in three African HDSSs" (2025, Popul Stud).