Stanford University


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  • Rebecca M. Gardner

    Rebecca M. Gardner

    Ph.D. Student in Epidemiology and Clinical Research, admitted Autumn 2022

    BioMy research interests are in maternal nutrition and well-being, with a current focus on hyperemesis gravidarum (HG)—severe nausea and vomiting during pregnancy that often causes significant maternal undernutrition and poor antepartum and postpartum mental health, and is the leading cause of hospitalization in early pregnancy. I study HG from several angles: the environmental exposures that may exacerbate it, including ambient air pollution and wildfire smoke, and whether these contribute to HG-related hospitalization; and its downstream consequences for both mothers and children, including hypertensive disorders of pregnancy such as preeclampsia, preterm birth, and neurodevelopmental conditions in childhood such as autism. More broadly, I am interested in hypertensive disorders of pregnancy, preterm birth, and gestational diabetes, and their subsequent effects on offspring. Methodologically, I am drawn to applying causal inference methods traditionally used in economics to questions in public health.


    Before starting a PhD, I was a biostatistician in the Quantitative Sciences Unit at Stanford for four years where I co-authored over thirty publications, collaborating with clinicians on various domains including developmental behavioral pediatrics, reproductive endocrinology & infertility, oncology, and clinical trials. I completed my MS in Statistics at Brigham Young University in 2016, where I collaborated with cardiologists to develop a new approach to diagnose rheumatic heart disease in pediatric patients in Samoa for my Master's thesis.

  • Pascal Geldsetzer

    Pascal Geldsetzer

    Assistant Professor of Medicine (Primary Care and Population Health) and, by courtesy, of Epidemiology and Population Health

    BioPascal Geldsetzer is an Assistant Professor of Medicine in the Division of Primary Care and Population Health and, by courtesy, in the Department of Epidemiology and Population Health. He is also affiliated with the Phil & Penny Knight Initiative for Brain Resilience at the Wu Tsai Neurosciences Institute, Department of Biomedical Data Science, Department of Health Policy, and the Stanford Center for Population Health Sciences.

    His research focuses on identifying and evaluating the most effective interventions for improving health at older ages. In addition to leading several randomized trials, his methodological emphasis lies in the use of natural experiments to ascertain causal effects in large observational datasets, particularly in electronic health record data. He has won an NIH New Innovator Award (in 2022), a Chan Zuckerberg Biohub investigatorship (in 2022), and three NIH R01 grants as Principal Investigator (in 2023 and 2024). In 2026, he was named one of the 100 most influential people in health and medicine globally by TIME Magazine.

  • Nicole Gladish

    Nicole Gladish

    Research Fellow, Epidemiology and Population Health

    BioDr. Nicole Gladish is a Research Fellow in the Department of Epidemiology and Population Health at Stanford University. Her work integrates genetic, epigenetic, and population-level data to understand how biological and environmental factors interact to shape health disparities and influence trajectories of healthy aging. In addition to exploring molecular mechanisms, she conducts applied research on health policy interventions developing and refining tools like deprivation indices to inform equitable decision-making at the systems level.

    Dr. Gladish earned her Ph.D. in Medical Genetics from the University of British Columbia (UBC), where her thesis focused on how early-life adversity, such as low socioeconomic status and abuse, affects DNA methylation patterns. This work aimed to elucidate the biological mechanisms that predispose individuals to chronic diseases such as cardiovascular disease, diabetes, and cancer.

    At Stanford, she continues to investigate the interplay between social determinants and biological risk, with a growing emphasis on translational research. Her development of improved social deprivation indices supports more accurate identification of disadvantaged communities, informing public health funding, service allocation, and structural interventions across the U.S.

    Dr. Gladish's work bridges molecular epidemiology and public policy, aiming to ensure that scientific insights translate into measurable improvements in population health.

  • Steven Goodman

    Steven Goodman

    Professor of Epidemiology and Population Health, of Medicine (Primary Care and Population Health) and, by courtesy, of Health Policy

    Current Research and Scholarly InterestsI study issues relating to the representation and measurement of evidence in medical research and determinants of the reliability of biomedical research findings. I also do work in evidence synthesis, comparative effectiveness research, and the ethics of clinical research.