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About Maya Petersen

Maya Petersen, MD, PhD is Associate Professor of Biostatistics and Epidemiology at the School of Public Health of 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. Her applied work focuses on developing and evaluating improved HIV prevention and care strategies in resource-limited settings. Maya is currently co-PI (with Diane Havlir and Moses Kamya) of the SEARCH Trial, a large "test and treat" HIV prevention trial in East Africa, and co-PI (with Elvin Geng) of the AdaPT-R Trial, a sequential multiple assignment randomized trial to develop adaptive strategies that optimize retention in HIV care in Kenya. Her course "Introduction to Causal Inference", with Laura Balzer, was awarded the 2014 American Statistical Association's Causality in Statistics Education Prize (www.ucbbiostat.com).

Positions

Present Associate Professor, Biostatistics & Epidemiology, University of California, Berkeley
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Curriculum Vitae



Research Interests

HIV, Causal Inference, Cluster Randomized Trials, Sequential Multiple Assignment Randomized Trials (SMART), Adaptive Interventions/Dynamic Regimes, and Semiparametric Estimation

Honors and Awards

  • ASA Causality in Statistical Education Prize
  • Doris Duke Clinical Scientist Development Award
  • Alpha Omega Alpha Honor Medical Society
  • Evelyn Fix Prize
  • Howard Hughes Medical Institute Pre-Doctoral Fellowship

Courses



Contact Information

101 Haviland Hall, Suite 102
School of Public Health, UC Berkeley
Berkeley, CA 94720-7358
p: 510 642-0563
f: 510 643-5163

Email:


Articles (20)

Contributions to Books (2)

Unpublished Papers (1)

Presentations (6)