Who We Are

Katie Mollan is a Principal Biostatistician, and Epidemiology PhD Candidate, with >17 years of experience in infectious disease and comorbidities research. Mollan focuses primarily on the design and analysis of RCTs and longitudinal cohort studies. Her research areas include HIV, COVID-19, women’s health, mental health, comparative effectiveness, and applied causal inference. Mollan earned her M.S. in Statistics at the Ohio State University (2006) and worked at the Harvard T.H. Chan School of Public Health, Center for Biostatistics in AIDS Research (2006-2012 AIDS Clinical Trials Group) prior to joining the UNC Chapel Hill Center for AIDS Research in 2012-Present.

Leah is a PhD Candidate in the Department of Epidemiology. Her research uses large observational cohort data and modern epidemiologic methods to answer questions at the intersection of HIV and cardiovascular diseases.

Bonnie Shook-Sa is an assistant professor in the Department of Biostatistics at UNC. Her research focuses on the efficient design and causal analysis of observational studies and randomized trials. She is particularly interested in issues surrounding generalizability and in combining data from multiple studies. Dr. Shook-Sa’s collaborative public health research focuses on infectious diseases, with an emphasis on HIV research. She serves as the assistant director for the UNC Center for AIDS Research Biostatistics Core.

Ye Wang is an Assistant Professor at the Department of Political Science, the University of North Carolina at Chapel Hill. His research focuses on political methodology, especially the identification of spillover effects from policies or events in time, space, or social networks, and improving the robustness of research designs and hypothesis testing. He received a PhD from the Wilf Family Department of Politics at New York University. His work has been published in journals such as the American Journal of Political Science and Electoral Studies.

Daniel Westreich is a Professor of Epidemiology with a focus on infectious diseases and reproductive health, and epidemiologic methods in causal inference. He is the author of the textbook EPIDEMIOLOGY BY DESIGN: A CAUSAL APPROACH TO THE HEALTH SCIENCES.

Ning is a PhD student in Epidemiology at UNC Chapel Hill. She got her MS degree in Biostatistics from Yale University. Ning is interested in developing and applying causal inference methods, and her work focuses on measurement error correction in infectious disease and environmental epidemiology.