Maya Petersen, M.D. Ph.D.

Job title: 
Professor of Biostatistics
Epidemiology and Biostatistics

Dr. Maya L. Petersen is a Professor of Biostatistics and Epidemiology at the University of California, Berkeley. 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 cluster randomized trials. She is a Founding Editor of the Journal of Causal Inference and serves on the editorial board of Epidemiology and Epidemiologic Methods

Dr. Petersen’s applied work focuses on developing and evaluating improved HIV prevention and care strategies in resource-limited settings. She currently serves as co-PI (with Dr. Diane Havlir and Dr. Moses Kamya) for the Sustainable East Africa Research in Community Health ( consortium, and as co-PI (with Dr. Elvin Geng) for the ADAPT-R study (a sequential multiple assignment randomized trial of behavioral interventions to optimize retention in HIV care).

Research interests: 
  • Causal inference
  • Dynamic treatment regimes
  • HIV
  • Antiretroviral resistance
  • Impact evaluation
  • Implementation science