School of Medicine
Showing 21-30 of 66 Results
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Tina Hernandez-Boussard
Professor of Medicine (Biomedical Informatics), of Biomedical Data Science, of Surgery and, by courtesy, of Epidemiology and Population Health
Current Research and Scholarly InterestsMy background and expertise is in the field of computational biology, with concentration in health services research. A key focus of my research is to apply novel methods and tools to large clinical datasets for hypothesis generation, comparative effectiveness research, and the evaluation of quality healthcare delivery. My research involves managing and manipulating big data, which range from administrative claims data to electronic health records, and applying novel biostatistical techniques to innovatively assess clinical and policy related research questions at the population level. This research enables us to create formal, statistically rigid, evaluations of healthcare data using unique combinations of large datasets.
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Mark Hlatky, MD
Professor of Health Policy, of Medicine (Cardiovascular Medicine) and, by courtesy, of Epidemiology and Population Health
Current Research and Scholarly InterestsMy main research work is in "outcomes research", especially examining the field of cardiovascular medicine. Particular areas of interest are the integration of economic and quality of life data into randomized clinical trials, evidence-based medicine, decision models, and cost-effectiveness analysis. I am also interested in the application of novel genetic, biomarker, and imaging tests to assess risk and guide clinical management of coronary artery disease.
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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 -
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. -
Deborah Kado
Professor of Medicine (Primary Care and Population Health) and, by courtesy, of Epidemiology and Population Health
BioDr. Kado is a board-certified, fellowship-trained doctor specializing in geriatrics. She serves as co-director of the Stanford Longevity Center. She is a professor of medicine and chief of research for the Geriatrics Section in the Department of Medicine, Division of Primary Care and Population Health. She is also the Director of the Geriatric Research, Education, and Clinical Center (GRECC) at VA Palo Alto Health Care System.
For each patient, Dr. Kado prepares a personalized care plan. Her objective is to help all individuals maintain the best possible health and quality of life as they age.
A special interest of Dr. Kado is bone health. She has conducted extensive research focused on osteoporosis and the related disorder hyperkyphosis.
Since joining the UCLA faculty in 2000, she has received continuous funding for her research from the National Institutes of Health (NIH).
She has over 100 peer-reviewed publications of her research findings in the Journal of Bone and Mineral Research, Osteoporosis International, Journal of Gerontology and Medical Sciences, Journal of Geriatric Oncology, Nature Communications, and other peer-reviewed journals.
In 2007, she defined hyperkyphosis as a new geriatric syndrome. Her discoveries in this field were first featured in the American College or Physician’s premier internal medicine journal Annals of Internal Medicine. Later, they also appeared in a dedicated chapter in UpToDate, the electronic resource providing evidence-based clinical decision support for doctors worldwide.
Prior to coming to Stanford, Dr. Kado practiced at UC San Diego where she started a dedicated osteoporosis clinic for patient care and research. She later broadened her research interests beyond musculoskeletal aging to study other aging-related topics such as the gut microbiome in older men and the effects of cancer treatments on aging in newly diagnosed breast cancer patients.
Dr. Kado is a California native. She trained at UCSF and UCLA. She also earned a Master of Science degree in epidemiology at the UCLA School of Public Health, sponsored by the John Hartford Foundation.
She is a member of the American Geriatrics Society, American Society of Bone and Mineral Research, Gerontological Society of America, The Endocrine Society, and other professional organizations. She co-chairs the NIH National Institute on Aging Workshop for the American Society of Bone and Mineral Research. She also participates in the Bone Health Working Group of the Society for Women’s Health Research. -
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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Allison W. Kurian, M.D., M.Sc.
Professor of Medicine (Oncology) and of Epidemiology and Population Health
Current Research and Scholarly InterestsI aim to understand cancer burden and improve treatment quality at the population level. I have a strong focus on genetic risk assessment and precision oncology. I lead epidemiologic studies of cancer risk factors, clinical trials of novel approaches to cancer risk reduction, and decision analyses of strategies to optimize cancer outcomes.
