Sherri Rose, PhD

Assistant Professor of Health Care Policy
Department of Health Care Policy
Harvard Medical School

Sherri Rose, PhD, is an associate professor of health care policy (biostatistics) in the Department of Health Care Policy at Harvard Medical School. Her work is centered around developing and integrating innovative statistical approaches to advance public health and health care research. Broadly, Dr. Rose’s methodological research focuses on nonparametric machine learning for causal inference and prediction. Within health policy, Dr. Rose works on risk adjustment, comparative effectiveness research, and health program impact evaluation. She co-leads the Health Policy Data Science Lab and is a faculty member in the Healthcare Markets and Regulation Lab at Harvard. Dr. Rose coauthored the book Targeted Learning: Causal Inference for Observational and Experimental Data published by the Springer Series in Statistics. She serves on several editorial boards, including as associate editor for the Journal of the American Statistical Association (JASA) – Theory and Methods. Dr. Rose was selected as a 2016 AcademyHealth New Investigator and, in 2014, was awarded a William F. Milton Fund grant from Harvard University to develop a novel robust estimator for the study of chronic disease and prosperity in a complex study design.