Berkeley Conversations: Reopening and reimagining after COVID-19



Maya Petersen

Associate Professor, Divisions of Biostatistics and Epidemiology, School of Public Health, UC Berkeley, Co-Chair, Graduate Group in Biostatistics, School of Public Health, UC Berkeley, Co-Director, Berkeley Computational Social Science Training Program (NIH), Co-Director, Computational Precision Health, Faculty, Center for Targeted Machine Learning and Causal Inference, BIDS Faculty Affiliate

Maya Petersen is Associate Professor of Biostatistics and Chair of the Division of Biostatistics at the UC Berkeley School of Public Health. Dr. Petersen’s methodological research focuses on the development and application of novel causal inference methods to problems in health, with an emphasis on longitudinal data and adaptive treatment strategies (dynamic regimes), machine learning methods, and study design and analytic strategies for impact evaluation. Dr. Petersen’s applied work focuses on developing and evaluating improved HIV prevention and care strategies in resource-limited settings. She serves as MPI (with Dr. Diane Havlir and Dr. Moses Kamya) for the Sustainable East Africa Research in Community Health (SEARCH) consortium, and co-leads (with Profs. Mark van der Lan and Alan Hubbard) the Berkeley SPH Center for Targeted Learning.