Maya Petersen is an Assistant Professor of Biostatistics and Epidemiology 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.
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 and the development of methods to estimate individualized treatment strategies
(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
PDF
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
