School of Medicine
Showing 41-60 of 138 Results
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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. -
Ixel Hernandez-Castro
Postdoctoral Scholar, Epidemiology
BioEnvironmental epidemiologist focused on understanding how cumulative environmental exposures during pregnancy and early life shape maternal and child health across the life course. My work integrates epidemiologic methods and molecular biomarkers to uncover shared biological pathways linking chemical and social exposures to pregnancy complications and adverse cardiometabolic and neurodevelopmental outcomes, with the goal of informing early prevention strategies and supporting health.
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Alyssa Michelle Howren
Postdoctoral Scholar, Epidemiology
BioAlyssa Howren is a Postdoctoral Scholar at Stanford University’s Department of Epidemiology and Population Health in the School of Medicine. She completed her MSc and PhD training at the University of British Columbia’s Faculty of Pharmaceutical Sciences during which she was a trainee at Arthritis Research Canada. Her PhD training was supported by a Canadian Institutes of Health Research (CIHR) Doctoral Award, along with UBC’s Wayne Riggs Interdisciplinary Scholarship in Pharmaceutical Sciences and Andrew Nord Fellowship in Rheumatology. Her research focuses on using multiple data sources to provide evidence to disentangle the complex relationship between depression and anxiety with inflammatory arthritis and assess how people living with inflammatory arthritis are treated for their comorbid mental disorders. Methodological approaches in Dr. Howren’s work have included systematic reviews, qualitative research, mixed methods, and population-based studies using linked administrative health databases. She was awarded a CIHR Fellowship for her postdoctoral research at Stanford University which aims to evaluate whether biases in clinical decision-making contribute to the sex and gender differences observed in the diagnosis of major depressive disorder.
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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 -
Amy M Inkster
Postdoctoral Scholar, Epidemiology
BioAmy Inkster, PhD is a Postdoctoral Scholar in the Department of Epidemiology and Population Health at Stanford University. She conducts research on epigenetic alterations in pregnancy and early life to understand the molecular levers affecting healthy development. She primarily uses large 'omics datasets to study the effect of environmental exposures on pregnancy outcomes and maternal health.
Dr. Inkster received her PhD in Medical Genetics from the University of British Columbia (Vancouver, Canada), where her research focused on evaluating DNA methylation variation in prenatal life, primarily in the context of placental epigenetics, sex differences, prenatal exposures, and X-chromosome inactivation. She holds a BSc in Chemistry. As a cross-disciplinary researcher, her work and research interests lie at the intersection of molecular mechanisms and their impacts on human health and disease at the population level. -
John P.A. Ioannidis
George E. and Lucy Becker Professor of Medicine, Professor 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. -
Ankita Kaulberg
Director of Innovation & Technology, Epidemiology and Population Health
Current Role at StanfordDirector of Innovation & Technology, HEARTS Lab
Stanford School of Medicine -
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, substance use, and child health. For example, recently, my work has examined inequities in COVID-19 vaccine distribution, cause-specific excess mortality, and drug poisonings. Other work has examined the impact of changing vaccination rates on the reemergence of infectious diseases and the prevalence of parental death among children.
