School of Medicine
Showing 61-80 of 225 Results
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Cellas Ari'ka Hayes
Postdoctoral Scholar, Epidemiology
BioDr. Cellas Hayes is a first-generation college graduate, neuroscientist, and postdoctoral fellow at Stanford University. He holds a bachelor’s degree in Biology and minors in Classics, and Latin from the University of Mississippi (2019) and earned his Ph.D. in Pharmaceutical Sciences with an emphasis in Pharmacology (2022), where he received advanced neuroscience research training under Dr. Nicole Ashpole’s guidance.
At Stanford, Dr. Hayes employs cutting-edge epidemiological and biostatistical methods with high-dimensional biological data to investigate the impact of cerebrovascular and Alzheimer’s disease pathologies on age-related outcomes such as cognitive decline and dementia. He has established national collaborations including the Strong Heart Study, Cardiovascular Health Study, Health and Aging Brain Study - Health Disparities, and the National Alzheimer’s Coordinating Center.
Dr. Hayes is becoming a recognized leader in his field and beyond, serving as a Stanford Propel Postdoctoral Fellowship Alumni, a Burroughs Wellcome Fund PDEP Fellow, and a HABS-HD Health Enhancement Scientific Program Fellow, and diversity supplement recipient. He is the founder and chair of the National Black Postdocs Emergency Support Program and a former co-president of the Stanford Black Postdocs Association. As a postdoc, Dr. Hayes has accrued over 500K in fellowship funds while participating in notable professional development programs like the NIH NIMHD HDRI and NIA Butler Williams Scholars Program. At UM, Dr. Hayes was the first recipient to receive a NIH NRSA F31 in 37 years while also being a Southern Regional Education Board Scholar and UMMC-GTEC Smith Scholars Program.
Passionate about mentorship and education, Dr. Hayes develops innovative resources and curricula through the Stanford Grant Writing Academy, where he has trained postbaccalaureate, doctoral, and postdoctoral scholars in grant writing and career development. -
Chris Heitzig
Postdoctoral Scholar, Epidemiology
BioChris Heitzig is a New Map of Life Postdoctoral Fellow in the Department of Epidemiology and Population Health. An economist by training, his research develops models to examine healthy aging across the life course, with a particular emphasis on identifying causal pathways and key points of policy intervention to improve well-being in later life. A central focus of his work is the socioeconomic impact of undiagnosed metabolic disorders—how these conditions manifest, the costs of leaving them untreated, and the potential for interventions to improve detection and outcomes. His research combines insights from economics and public health with machine learning methods for causal inference.
Before joining Stanford, Chris served in research roles at the Brookings Institution and the World Bank. At Brookings, he managed a $1.5 million research grant investigating how technological change is reshaping employment in Africa. At the World Bank, he designed randomized controlled trials to measure the causal effects of health and employment programs and served in an operational role as the day-to-day lead for a $20 million job transition program. Chris holds a PhD in Economics from the Institute of Development Studies, an MPhil in Economics from the University of Oxford, and a BA in Economics from Saint John’s University. -
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 cardiometabolic and neurodevelopmental outcomes, with the goal of informing early prevention strategies and supporting health.
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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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Manuel Hoffmann
Affiliate, Center for Population Health Sciences
Biowww.manuelhoffmann.org
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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 -
Assel Ibadulla
Ph.D. Student in Health Policy, admitted Autumn 2025
BioAssel Ibadulla is a PhD student in Health Policy, specializing in Decision Sciences, and a Knight-Hennessy Scholar. She graduated with honors in Biological Sciences from Nazarbayev University and earned a Master of Public Health in Health Policy from Yale University as a Horstmann Scholar. Assel aims to leverage decision sciences to support policymakers in making cost-effective and equitable health decisions, with a focus on strengthening health systems in low- and middle-income countries.
Previously, Assel worked at Yale’s Equity Research and Innovation Center, where she focused on healthcare equity for ethnic minorities, and at the Harvard Health Systems Innovation Lab, where she contributed to research on transitioning to high-value health systems, and additionally, assisted with WHO global health projects.
She also placed in the top 10 at the Asian Universities Alliance Social Entrepreneurship Competition at Tsinghua University for her mental health app, Mind Matters. -
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
Professor of Medicine (Stanford Prevention Research Center), 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
