School of Medicine
Showing 51-60 of 75 Results
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David Rehkopf
Director, Stanford Center on Longevity, Professor of Epidemiology and Population Health, of Sociology, of Medicine (Primary Care and Population Health) and, by courtesy, of Pediatrics, and of Health Policy
BioI am a social epidemiologist and Professor in the Department of Epidemiology and Population Health, the Department of Sociology, and the Division of Primary Care and Population Health in the Department of Medicine. I joined the Stanford University faculty in 2011.
My research examines the health implications of the myriad decisions made every day by corporations and governments—decisions that profoundly shape the social and economic worlds in which we live and work. Although these changes are often invisible in daily life, seemingly minor actions and decisions can serve as structural nudges that produce better or worse health at the population level. My work documents the health consequences of corporate and governmental decisions, providing evidence that can help the public and policymakers develop new strategies to promote health and well-being. Across this work, I focus particularly on the implications of these exposures for health inequalities.
Because policy and programmatic changes can take decades to influence health, my research also includes more basic work to identify biological signals that may serve as early warning signs of systemic disease, particularly accelerated aging. I examine how social and economic policy changes affect a range of early markers of disease and aging, with a 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 more sensitive approaches for understanding the health effects of social and economic policy changes. -
Marissa Reitsma
Assistant Professor of Health Policy
BioMarissa Reitsma, PhD, is an Assistant Professor of Health Policy at Stanford University School of Medicine. She obtained her PhD in Health Policy at Stanford in 2024, during which time she was a Knight-Hennessy Scholar, Stanford Data Science Scholar, and NSF Graduate Research Fellow. Previously, she worked on the Global Burden of Disease Study at the Institute for Health Metrics and Evaluation. Reitsma develops computational models to quantify disease burden, evaluate the benefits and costs of interventions, and support evidence-based policies across a range of priorities in public health, with a focus on health equity.
Reitsma aims to build simulation models that integrate the overlapping risk factors, social determinants, and syndemic conditions that disproportionately impact marginalized populations and contribute to health inequities. She also investigates the potential for multimodal data synthesis to inform these models, improve population health decision-making, and reduce health disparities. Her work spans multiple communicable and non-communicable conditions linked to behavioral risk factors, including tobacco use, drug use, and obesity. During the COVID-19 pandemic, she collaborated closely with state and local public health agencies to inform their decision-making. -
Jorge Roa
Software Developer Associate, Health Policy
BioJorge Roa is a software developer and data scientist in the Department of Health Policy at Stanford University. Prior to joining Stanford, Jorge completed a research fellowship in the Department of Statistics at the University of Munich. He holds an M.Sc. in Data Science for Public Policy from the Hertie School in Berlin, Germany. Jorge earned a B.A. in Public Policy from the Center for Research and Teaching in Economics (CIDE) in Aguascalientes, Mexico. His work has focused on gastric and colorectal cancer research, helping apply Bayesian methods and decision-analytic models, as well as creating and optimizing algorithms. He also has experience in developing and implementing open-source R packages. Jorge is part of the colorectal cancer group within the Cancer Intervention and Surveillance Modeling Network (CISNET). His research centers on employing data science tools and decision-analytic models to make informed decisions based on data and evidence to improve people’s lives.
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Sherri Rose
Professor of Health Policy and, by courtesy, of Computer Science
BioSherri Rose, Ph.D. is a Professor of Health Policy and, by courtesy, of Computer Science at Stanford University, where she is Director of the Health Policy Data Science Lab. Her research is centered on developing and integrating innovative statistical machine learning approaches to improve human health. Within health policy, Dr. Rose works on 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. She was recently awarded the Open Science Champion Prize by Stanford University. 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
Josephine Knotts Knowles Professor of Human Biology, 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
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Joshua Salomon
Professor of Health Policy and Senior Fellow at the Freeman Spogli Institute for International Studies
BioJoshua Salomon is a Professor of Health Policy, a core faculty member in the Center for Health Policy, and Senior Fellow at the Freeman Spogli Institute for International Studies. His research focuses on public health policy and priority-setting, within three main substantive areas: (1) modeling patterns and trends in major causes of global mortality and disease burden; (2) evaluation of health interventions and policies; and (3) measurement and valuation of health outcomes.
Dr. Salomon is an investigator on projects funded by the Centers for Disease Control and Prevention, National Institutes of Health and the Bill & Melinda Gates Foundation, relating to modeling of infectious and chronic diseases and associated intervention strategies; methods for economic evaluation of public health programs; measurement of the global burden of disease; and assessment of the potential impact and cost effectiveness of new health technologies.
He is Director of the Prevention Policy Modeling Lab, which is a multi-institution research consortium that conducts health and economic modeling relating to infectious disease. Prior to joining the Stanford faculty, Dr. Salomon was Professor of Global Health at Harvard T.H. Chan School of Public Health.
For more information on the Prevention Policy Modeling Lab visit ppml.stanford.edu. -
Lee M. Sanders, MD, MPH
Professor of Pediatrics (General Pediatrics), of Health Policy and, by courtesy, of Epidemiology and Population Health
Current Research and Scholarly InterestsI conduct interdisciplinary research to understand literacy as potentially modifiable lens for addressing maternal and child health disparities from birth through early adulthood. Applying mixed methods approaches (health-services, epidemiology, ethnography), I have been principal investigator on extramurally-funded research projects (NIH, PCORI, FDA) that aim to examine "natural experiments" in policy and/or to design, implement and test novel system-level interventions.
