معرفی
Lee Kennedy-Shaffer is an Assistant Professor in the Department of Biostatistics at the Yale School of Public Health. He holds a PhD in Biostatistics from Harvard University, with prior research experience at Harvard’s Center for Communicable Disease Dynamics. Before joining Yale, he was an Assistant Professor at Vassar College. His work focuses on statistical methods for infectious disease studies, including cluster-randomized trials, quasi-experimental designs, and analyses of vaccine efficacy against transmission. He has contributed to studies on SARS-CoV-2 viral load dynamics, pandemic response strategies, and policy evaluation using difference-in-differences methods.
- Education: PhD (Harvard University, 2020), MA (Harvard, 2017), BS (Yale University, 2013)
- Research Interests: Infectious disease trial design, spatiotemporal epidemiology, causal inference in public health
His research bridges statistical methodology and practical public health challenges, with applications to vaccine evaluation, pandemic preparedness, and policy analysis. Notable contributions include work on viral load-based transmission models and the design of serosurveys for early outbreak detection.
Awards: Winner of the 2024 Carnegie Mellon Sports Analytics Reproducible Research Competition and the 2022 Royal Statistical Society’s Statistical Excellence in Early Career Writing Award.
Labs/Teams: Involved in the Public Health Modeling Unit and the Big Data Summer Immersion at Yale program. Serves as Statistical Editor for Nature Medicine and Associate Editor for Epidemiologic Methods.
