School of Medicine
Showing 41-60 of 152 Results
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Cellas Ari'ka Hayes
Postdoctoral Scholar, Epidemiology
BioCellas is currently a postdoctoral fellow/Propel scholar at Stanford University in the Department of Neurology and Neurological Sciences in a laboratory utilizing longitudinal data analysis and neuroimaging modalities to understand the aging brain, neuropathology, cognition, and Alzheimer’s Disease. Postdoctoral experience includes using R, Linux, and Python to perform data preprocessing, multivariate statistical analysis, and applying novel models for longitudinal continuous outcomes. Cellas received his Bachelor’s in Biology (2015-2019) and Doctor of Philosophy in Pharmaceutical Sciences with an emphasis in Pharmacology (2019-2022) from the University of Mississippi. As a doctoral candidate, his research focused on using both in vitro and in vivo approaches to further elucidate how neuroendocrine modulation specifically insulin-like growth factor-1 alters learning and memory performance along with ischemic stroke outcomes. Skills gained during doctoral training included in vitro cell culture, pharmacological experimental design of both in vitro and in vivo studies, development of transgenic mouse models, a wide array of rodent behavioral paradigms, stereotaxic surgery, photothrombosis, and numerous ex vivo cellular, molecular, and microscopy techniques.
My primary interests lie at the intersection of aging, neurodegenerative disease, and using longitudinal epidemiological data sets to investigate hypotheses. All around neuroscientist seeking sci-comm, industry, and academic opportunities to strengthen skills to become an independent investigator. -
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
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/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. -
Ankita Kaulberg
Head of Product, Our Voice Platform, Epidemiology and Population Health
Current Role at StanfordHead of Product, Our Voice Platform
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. 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.
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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.
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Eric Koenig Gonzalez
Casual - Non-Exempt, Epidemiology and Population Health
BioEric is an undergraduate Computer Engineering student currently interning at the Epidemiology and Population Health Department. Currently working on developing the back end of the systems used for the Food for Health Equity Lab.