School of Medicine
Showing 11-20 of 46 Results
-
Shawna Follis
Instructor, Epidemiology and Population Health
BioShawna Follis, PhD, MS, is an Instructor of Medicine at the Stanford Prevention Research Center. She received the NIH Pathway to Independence Award (K99/R00) in 2023. Previously, she was a Stanford Propel Postdoctoral Scholar from 2021 to 2023 and a NIH T32 Postdoctoral Fellow from 2020 to 2021. Dr. Follis is a social epidemiologist researching race and ethnicity health disparities, aging, and cardiovascular disease prevention. She received her PhD in epidemiology at the University of Arizona and her master’s degree in anthropology from Purdue University. Dr. Follis promotes inclusion of underrepresented communities in scientific research through mentorship, teaching, and diversity committees.
-
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 am interested in issues relating to the representation and measurement of evidence in medical research, and determinants of the truth of medical findings, using a Bayesian framework. I also do work in evidence synthesis, comparative effectiveness research, and the ethics of clinical research.
-
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 (Child and Adolescent Psychiatry)
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
Professor of Epidemiology and Population Health and of Neurology and Neurological Sciences
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
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
Professor of Medicine (Stanford Prevention Research), of Epidemiology and Population Health and, by courtesy, 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
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 and 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 San Francisco Bay Area Breast Cancer Study, a population-based case-control study in nearly 5,000 African American, Hispanic, and non-Hispanic White women that investigated the role of modifiable lifestyle factors and other risk factors;
- 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 minoritized racial and ethnic populations;
- the Northern California site of the WECARE Study that investigates risk factors for second primary contralateral breast cancer;
- the Second Primary Breast Cancer Disparities Study, a pooled analysis of risk factors for contralateral and ipsilateral second primary breast cancer in a diverse population;
- 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 minoritized racial and ethnic populations.
Dr. John is a founding PI of the LEGACY Girls Study, a 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.
In 2023, Dr. John joined the Stanford investigator team of the MOSAAIC (The Multiethnic Observational Study in American Asian and Pacific Islander Communities) Study, a five-center study to improve health of American Asian, Native Hawaiian, and Pacific Islander populations. -
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
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
Professor of Pediatrics (Infectious Diseases), Senior Fellow at the Woods Institute for the Environment and Professor, by courtesy, of Epidemiology and Population Health and of Environmental Social Sciences
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.