Stanford University
Showing 151-160 of 207 Results
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Rita Popat
Clinical Associate Professor, Epidemiology and Population Health
Clinical Associate Professor, Epidemiology and Population HealthCurrent Research and Scholarly InterestsMy research interest focuses on the epidemiology of ParkinsonÂ’s disease and amyotrophic lateral sclerosis, specifically evaluating the genetic and environmental contributions to these neurodegenerative disorders. I am also interested in studying the relation of cognition, estradiol exposure (endogenous and exogenous), and genetic factors.
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Ruby E. Reed ("Lillie")
MD Student with Scholarly Concentration in Community Health / Global Health, expected graduation Spring 2025
Masters Student in Epidemiology and Clinical Research, admitted Autumn 2021BioRuby E. Reed ("Lillie") (any pronouns) is a medical student and Masters in Epidemiology & Clinical Research student from Greenville, North Carolina. Lillie aims to become a child and adolescent psychiatrist, focusing on trauma and trauma-related disorders. Passionate about psychotherapy, community health work, writing and the humanities, Lillie sees storytelling and empowerment as the threads between her interests. She hopes to build a career that empowers people and communities to own and tell their stories for healing, strength and community good.
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Alexis Reeves
Postdoctoral Scholar, Epidemiology
BioAlexis is a Propel postdoctoral scholar in the Department of Epidemiology and Population Health in the School of Medicine with Dr. Michelle Odden’s lab. Her research is broadly focused on the causes and consequences of racial disparities in accelerated aging. She is particularly interested in the interplay of structural and interpersonal racism, and the psychobiological mechanisms in which they produce early health declines in minoritized populations. Her work to date has focused on the health of Black women as they enter into life-stages, such as the midlife menopausal transition, where cardio-metabolic risk is high. Alexis also has a strong interest in causal inference, and applies causal inference theory and methods to these areas of research to mitigate and quantify bias.
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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
On Leave from 07/01/2024 To 08/31/2024BioI 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.
