Epidemiology and Biostatistics, Public Health, Computational Social Science, Computational Precision Health, Center for Targeted Machine Learning and Causal Inference
Professor, Epidemiology and Biostatistics, Berkeley Public Health Co-Director, Berkeley Computational Social Science Training Program (NIH) Co-Director, Joint Program in Computational Precision Health Co-Director, Center for Targeted Machine Learning and Causal Inference Maya 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....