Max Rubinstein is an associate statistician at RAND. His methodological interests include study design (experimental and observational), causal mediation analysis, doubly robust estimation, partial identification, methods for state-level policy analysis, and missing data. He has used these methods to study a variety of policy and public health challenges, including the opioid crisis, reducing costs and improving quality of care for Medicare populations, clinical quality measurement, and better serving adults with serious mental illness. He received his Ph.D. in statistics and public policy from Carnegie Mellon University.
Ph.D. in statistics and public policy, Carnegie Mellon University; A.B. in history, University of Chicago
