School of Medicine
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David Rehkopf
Associate Professor of Epidemiology and Population Health, of Medicine (Primary Care and Population Health) and, by courtesy, of Sociology, of Pediatrics and of Health Policy
BioI am a social epidemiologist and serve as an Associate Professor in the Department of Epidemiology and Population Health and in the Department of Medicine in the Division of Primary Care and Population Health. I joined the faculty at Stanford School of Medicine in 2011.
I am Director of the Stanford Center for Population Health Sciences. In this position, I am committed to making high-value data resources available to researchers across disciplines in order to better enable them to answer their most pressing clinical and population health questions.
My own research is focused on understanding the health implications of the myriad decisions that are made by corporations and governments every day - decisions that profoundly shape the social and economic worlds in which we live and work. While these changes are often invisible to us on a daily basis, these seemingly minor actions and decisions form structural nudges that can create better or worse health at a population level. My work demonstrates the health implications of corporate and governmental decisions that can give the public and policy makers evidence to support new strategies for promoting health and well-being. In all of his work, I have a focus on the implications of these exposures for health inequalities.
Since often policy and programmatic changes can take decades to influence health, my work also includes more basic research in understanding biological signals that may act as early warning signs of systemic disease, in particular accelerated aging. I examine how social and economic policy changes influence a range of early markers of disease and aging, with a particular recent focus on DNA methylation. I am supported by several grants from the National Institute on Aging and the National Institute on Minority Health and Health Disparities to develop new more sensitive ways to understand the health implications of social and economic policy changes. -
Sherri Rose
Professor of Health Policy
BioSherri Rose, Ph.D. is a Professor of Health Policy and Director of the Health Policy Data Science Lab at Stanford University. Her research is centered on developing and integrating innovative statistical machine learning approaches to improve human health and health equity. Within health policy, Dr. Rose works on ethical algorithms in health care, risk adjustment, chronic kidney disease, and health program evaluation. She has published interdisciplinary projects across varied outlets, including Biometrics, Journal of the American Statistical Association, Journal of Health Economics, Health Affairs, and New England Journal of Medicine. In 2011, Dr. Rose coauthored the first book on machine learning for causal inference, with a sequel text released in 2018.
Dr. Rose has been honored with an NIH Director’s Pioneer Award, NIH Director's New Innovator Award, the ISPOR Bernie J. O'Brien New Investigator Award, and multiple mid-career awards, including the Gertrude M. Cox Award. She is a Fellow of the American Statistical Association (ASA) and received the Mortimer Spiegelman Award, which recognizes the statistician under age 40 who has made the most significant contributions to public health statistics. In 2024, she received both the ASHEcon Willard G. Manning Memorial Award for Best Research in Health Econometrics and the ASA Outstanding Statistical Application Award. Her research has been featured in The New York Times, USA Today, and The Boston Globe. She was Co-Editor-in-Chief of the journal Biostatistics from 2019-2023. -
Maya Rossin-Slater
Associate Professor of Health Policy, Senior Fellow at the Stanford Institute for Economic Policy Research and Associate Professor, by courtesy, of Economics
Current Research and Scholarly InterestsHealth and public economics; public policy; families; health disparities
