Maya Petersen is an Assistant Professor of Biostatistics at the University of
California, Berkeley. She received an M.D. from the University of California, San
Francisco and a Ph.D. in Biostatistics from Berkeley, where her doctoral work was funded
by the Howard Hughes Medical Institute and was honored by the Evelyn Fix prize.
Maya’s research interests include the treatment of HIV resistant to antiretroviral drugs,
the use of antiretroviral therapy in the developing world, and the use of machine
learning methods to estimate the effects of viral mutations. Methodologically, she is
interested in the application of causal inference methods to observational clinical
datasets, the use of statistics to improve clinical trial design, and the development of
methods to estimate individualized treatment rules (also known as dynamic treatment
regimes). Maya has a strong interest in the interface between biostatistics,
epidemiology, and clinical medicine, including the communication of new statistical
methods to non-statistical audiences, and the application of advances in biological and
clinical understanding of disease to drive the development of new statistical
methodologies.
Articles
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Hospital-based surveillance of meningococcal meningitis in Salvador, Brazil (with Soraia Cordeiro, Alan Neves, Cassio Ribeiro, Edilane Gouveira, Guilherme Ribeiro, Tatiana Lobo, Joice Reis, Katia Salgado, Mittermeyer Reis, and Albert Ko), Transactions of the Royal Society of Tropical Medicine and Hygiene (2007)
Contributions to Books
Selected Technical Reports
