Maya Mathur is an Assistant Professor at Stanford University’s Quantitative Sciences Unit (within the Biomedical Informatics Research Division) and the Department of Pediatrics. She is a statistician whose methodological research focuses on meta-analysis and other forms of evidence synthesis, as well as causal inference. Outside of methodological research, she directs the Stanford Humane and Sustainable Food Lab and is the Associate Director of the Stanford Data Science’s Center for Open and Reproducible Science (CORES). She has received early-career and young investigator awards from the Society for Epidemiologic Research (2022), the Society for Research Synthesis Methods (2022), and the American Statistical Association (2018).

Her CV is available here. A list of publications is available here and on Google Scholar. Repositories with data, code, and materials for her research are available on the Open Science Framework, and many of her teaching slide decks are publicly available.

Research interests

• Meta-analysis
• Causal inference
• Reproducibility and replication
• Statistical methods for epidemiology
• Sustainable food
• Behavior interventions

Education

• PhD Biostatistics, Harvard University (2015-2018)
• MS Statistics, Stanford University (2011-2013)
• BA Psychology, Stanford University (2009-2013)