School of Medicine
Showing 1-9 of 9 Results
-
Dee W. West
Professor of Health Research and Policy, Emeritus
Current Research and Scholarly Interests- Cancer etiology (diet, familial, genetic), especially breast, prostate and colon cancer
- Cancer surveillance (Cancer registration, cancer patterns)
- Cancer outcomes (Survival, quality of life, quality of care) -
Alice S Whittemore
Professor of Health Research and Policy (Epidemiology) and of Biomedical Data Science, Emerita
Professor Emerita, Epidemiology and Population HealthCurrent Research and Scholarly InterestsCancers of the prostate, breast and ovary account for a major proportion of new cancer cases and cancer deaths in the U.S. each year. Our recent research focus has been on developing improved statistical methods for the design and conduct of studies involving hereditary predisposition and modifiable lifestyle characteristics in the etiologies of site-specific cancers.
-
Michelle Williams, ScD
Professor of Epidemiology and Population Health
BioMichelle A. Williams, ScD, is Professor of Epidemiology and Population Health and Associate Chair for Academic Affairs in the Department of Epidemiology and Population Health at Stanford University, School of Medicine.
Dr. Williams' research focuses primarily on reproductive and perinatal epidemiology. Over three decades, she has integrated epidemiological, biological, and molecular approaches into rigorously designed research that has advanced understanding of placental abruption, gestational diabetes, and preeclampsia. Her research methodology includes: (1) identifying literature gaps; (2) developing robust epidemiological data systems across North America, Sub-Saharan Africa, Asia, and South America; and (3) integrating biochemical and molecular biomarkers into these platforms. She has effectively utilized various epidemiology study designs to investigate adverse reproductive and perinatal outcomes. Her consistent goal has been using biological and molecular biomarkers as objective measures of exposures and validated pre-clinical determinants of outcomes with clinical and global health significance. In 2019, in partnership with Apple Inc. and the National Institute of Environmental Health Sciences, she co-designed and currently co-leads the Apple Women's Health Study, a large-scale digital national study examining determinants of women's gynecological health.
Dr. Williams has advanced knowledge of understudied gynecological, obstetric, and perinatal outcomes while identifying novel risk factors. Her research has been funded by multiple NIH R01s, R03s, an SBIR, and HRSA grants, and she has served as co-investigator on numerous other grants. She has published over 540 peer-reviewed scientific articles and was elected to the National Academy of Medicine in 2016. In 2020, she received the Ellis Island Medal of Honor and was recognized by PR Week as one of the top 50 health influencers of the year.
Dr. Williams has been recognized for her excellence in teaching, as the recipient of the 2015 Harvard Chan School’s Outstanding Mentor Award, the UW’s Brotman Award for excellence in teaching (2007), the American Public Health Association’s Abraham Lilienfeld Award for education in epidemiology (2007), and the White House’s Presidential Award for Excellence in Science, Mathematics, and Engineering Mentoring (2012).
Before joining Stanford, Dr. Williams served as Dean of the Faculty at the Harvard T.H. Chan School of Public Health. Prior to her deanship, she was Professor and Chair of the Department of Epidemiology at Harvard Chan School and Program Leader of Population Health and Health Disparities Research Programs at Harvard's Clinical and Translational Sciences Center.
Dr. Williams previously had a distinguished career at the University of Washington School of Public Health. She holds an undergraduate degree in biology and genetics from Princeton University, a master's in civil engineering from Tufts University, and master's and doctoral degrees in epidemiology from the Harvard Chan School. -
John Witte
Professor of Epidemiology and Population Health, of Biomedical Data Science and of Genetics
Current Research and Scholarly InterestsThe Witte lab is a computational group developing and applying novel methods to decipher the mechanisms underlying complex diseases and traits. Recent research includes evaluating polygenic risk scores for trait prediction, investigating the shared genetic basis of cancer and other traits, and genetically adjusting biomarkers (e.g., prostate specific antigen) to improve disease screening.
