School of Medicine


Showing 11-20 of 43 Results

  • Bonnie Halpern-Felsher

    Bonnie Halpern-Felsher

    Marron and Mary Elizabeth Kendrick Professor of Pediatrics and Professor, by courtesy, of Epidemiology and Population Health and of Psychiatry and Behavioral Sciences

    Current Research and Scholarly InterestsResearch focuses on developmental, cognitive and psychosocial factors involved in adolescents’ and young adults’ health-related decision-making, perceptions of risk and vulnerability, health communication and risk behavior. My research has focused on understanding and reducing health risk behaviors such as tobacco use, alcohol and marijuana use, risky driving, and risky sexual behavior.

  • Victor W. Henderson, MD, MS

    Victor W. Henderson, MD, MS

    Professor of Epidemiology and Population Health and of Neurology

    Current Research and Scholarly InterestsResearch interests:
    (1) Risk factors for age-associated cognitive decline and for dementia.
    (2) Therapeutic strategies to improve cognitive abilities in aging and in dementia.
    (3) Brain–behavior relations as they pertain to human cognition.

  • Ann Hsing

    Ann Hsing

    Professor (Research) of Medicine (Stanford Prevention Research Center/Cancer Institute) and of Epidemiology and Population Health

    Current Research and Scholarly InterestsResearch Focus
    • Epidemiology of prostate, hepatobiliary, and thyroid cancers
    • Racial disparities in cancer
    • Endogenous hormones/growth factors
    • Circadian rhythms
    • Chronic inflammation
    • Genetic susceptibility
    • Cancer prevention and control
    • Global oncology and international studies

  • John P.A. Ioannidis

    John P.A. Ioannidis

    Professor of Medicine (Stanford Prevention Research), of Epidemiology and Population Health and by courtesy, of Statistics and of Biomedical Data Science

    Current Research and Scholarly InterestsMeta-research
    Evidence-based medicine
    Clinical and molecular epidemiology
    Human genome epidemiology
    Research design
    Reporting of research
    Empirical evaluation of bias in research
    Randomized trials
    Statistical methods and modeling
    Meta-analysis and large-scale evidence
    Prognosis, predictive, personalized, precision medicine and health
    Sociology of science

  • Esther M. John

    Esther M. John

    Professor (Research) of Epidemiology and Population Health and of Medicine (Oncology)

    Current Research and Scholarly InterestsDr. John has extensive expertise in conducting population-based epidemiologic studies and has led as Principal Investigator multiple large-scale studies, including multi-center studies with a study site in the San Francisco Bay Area with its diverse population. Many of her studies and collaborations investigated cancer health disparities. Her research has focused on the role of modifiable lifestyle factors (e.g., body size, physical activity, diet), hormonal factors, early-life exposures, genetic variants, and gene-environment interactions; differences in risk factors by race/ethnicity, breast cancer subtypes, and prostate cancer subtypes; risk factors for familial breast cancer and second primary breast cancer, as well as prognostic factors related to survival disparities.

    As Principal Investigator, Dr. John has led a number of studies conducted in the San Francisco Bay Area, including:

    - the Northern California site of the Breast Cancer Family Registry, an on-going prospective multi-generational cohort of over 13,000 families established in 1995 at six international sites;
    - the Northern California site of the WECARE Study that investigates risk factors for second primary breast cancer;
    - the California site of the Breast Cancer Health Disparities Study that investigated genetic variability and breast cancer risk and survival in Hispanic and non-Hispanic white populations in the context of genetic admixture;
    - the Breast Cancer Etiology in Minorities (BEM) Study, a pooled analysis of risk factors for breast cancer subtypes in racial/ethnic minorities;
    - the San Francisco Bay Area Breast Cancer Study, a population-based case-control study in nearly 5,000 Hispanic, African American and non-Hispanic white women that investigated the role of modifiable lifestyle factors and other risk factors;
    - the San Francisco Bay Area Prostate Cancer Study, a population-based case-control study of lifestyle and genetic risk factors for advanced and localized disease.

    These studies collected and pooled extensive data and biospecimens and continue to support numerous ancillary studies, collaborations and international consortia and have contributed to a better understanding of cancer risk and survival in racial/ethnic minority populations.

    Dr. John is also a founding PI of the LEGACY Girls Study, an on-going prospective cohort established in 2011 that investigates early life exposures in relation to pubertal development outcomes, breast tissue characteristics, and behavioral and psychosocial outcomes in the context of having a family history or breast cancer.

  • Mathew Kiang

    Mathew Kiang

    Assistant Professor of Epidemiology and Population Health (Epidemiology)

    BioI am an assistant professor in the Department of Epidemiology and Population Health. My research lies at the intersection of computational epidemiology and social epidemiology. Methodologically, my work revolves around combining disparate data sources in epidemiologically meaningful ways. For example, I work with individual-level, non-health data (e.g., GPS, accelerometer, and other sensor data from smartphones), traditional health data (e.g., survey, health systems, or death certificate data), and third-party data (e.g., cellphone providers or ad-tech data). To do this, I use a variety of methods such as joint Bayesian spatial models, traditional epidemiologic models, dynamical models, microsimulation, and demographic analysis. Substantively, my work focuses on socioeconomic and racial/ethnic inequities. For example, recently, my work has examined inequities in COVID-19 vaccine distribution, cause-specific excess mortality, and drug poisonings. I have an NIDA-funded R00 examining equitable ways to improve treatment for opioid use disorder across structurally disadvantaged groups and am Co-I on a NIDA-funded R21 examining ways to use novel data sources (such as social media) to predict surges in opioid-related mortality.

  • Abby C. King

    Abby C. King

    David and Susan Heckerman Professor and Professor of Epidemiology & Population Health and of Medicine (Stanford Prevention Research Center)

    Current Research and Scholarly InterestsMy interests include applications of behavioral theory and social ecological approaches to achieve large scale changes impacting chronic disease prevention and control; expanding the reach and translation of evidence-based interventions through state-of-the-art technologies; exploring social and physical environmental influences on health; applying community participatory research perspectives to address health disparities; and policy-level approaches to health promotion/disease prevention.

  • Angelle Desiree LaBeaud

    Angelle Desiree LaBeaud

    Professor of Pediatrics (Infectious Diseases), Senior Fellow at the Woods Institute for the Environment and Professor, by courtesy, of Epidemiology and Population Health and at the Stanford Doerr School of Sustainability

    Current Research and Scholarly InterestsArthropod-borne viruses are emerging and re-emerging infections that are spreading throughout the world. Our laboratory investigates the epidemiology of arboviral infections, focusing on the burden of disease and the long-term complications on human health. In particular, Dr. LaBeaud investigates dengue, chikungunya, and Rift Valley fever viruses in Kenya, where outbreaks cause fever, arthritis, retinitis, encephalitis, and hemorrhagic fever. Our main research questions focus on the risk factors for arboviral infections, the development of diagnostic tests that can be administered in the field to quickly determine what kind of arboviral infection a person has, and the genetic and immunologic investigation of why different people respond differently to the same infection. Our long-term goals are to contribute to a deeper understanding of arboviral infections and their long-term health consequences and to optimize control strategies to prevent these emerging infections. Our laboratory also investigates the effects of antenatal and postnatal parasitic infections on vaccine responses, growth, and development of Kenyan children.

    My lab at Stanford supports the field work that is ongoing in Kenya, but we also have several projects that are based locally. We strive to improve diagnostics of arboviral infections and are using Luminex technology to build a new screening assay. We also have created a Luminex based platform to assess vaccine responses against multiple pathogens.

  • Marvin Langston

    Marvin Langston

    Assistant Professor of Epidemiology and Population Health

    BioDr. Langston joined the faculty in the Department of Epidemiology and Population Health in 2022. He received his PhD in Epidemiology from the University of Arizona’s College of Public Health followed by postdoctoral training in Cancer Prevention and Control at Washington University in Saint Louis School of Medicine. Dr. Langston focuses on the epidemiology of benign and malignant prostate conditions. His long-term goal is to harmonize molecular and clinical aspects of urological condition diagnoses to produce well-characterized outcomes for biomarker discovery and etiological investigation.

  • Jennifer Lee

    Jennifer Lee

    Professor of Medicine (Endocrinology) and, by courtesy, of Epidemiology and Population Health

    Current Research and Scholarly InterestsI am a clinical scientist (PhD epidemiology), endocrinologist, and CMO at VAPA Cooperative Studies Program Coordinating Center. My group does pattern and prediction mapping along the life-course of interventions/outcomes and how healthcare system can positively impact health longitudinally. We use novel molecular epi, 'big' data like EHRs using multiple designs/methods/technologies. These interests cut across multiple complex chronic diseases and lifespan.
    https://med.stanford.edu/jleelab.html