Stanford University
Showing 161-170 of 621 Results
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Pascal Geldsetzer
Assistant Professor of Medicine (Primary Care and Population Health) and, by courtesy, of Epidemiology and Population Health
BioPascal Geldsetzer is an Assistant Professor of Medicine in the Division of Primary Care and Population Health and, by courtesy, in the Department of Epidemiology and Population Health. He is also affiliated with the Phil & Penny Knight Initiative for Brain Resilience at the Wu Tsai Neurosciences Institute, Department of Biomedical Data Science, Department of Health Policy, and the Stanford Center for Population Health Sciences.
His research focuses on identifying and evaluating the most effective interventions for improving health at older ages. In addition to leading several randomized trials, his methodological emphasis lies in the use of natural experiments to ascertain causal effects in large observational datasets, particularly in electronic health record data. He has won an NIH New Innovator Award (in 2022), a Chan Zuckerberg Biohub investigatorship (in 2022), and three NIH R01 grants as Principal Investigator (in 2023 and 2024). In 2026, he was named one of the 100 most influential people in health and medicine globally by TIME Magazine. -
Margarita Geleta
Graduate, Biomedical Data Science
BioMargarita Geleta is a computer science PhD Candidate at University of California, Berkeley (major in Artificial Intelligence and minor in Human-Computer Interaction), and a visiting graduate student at Stanford University. Ms. Geleta received her M.S. in computer science at University of California, Berkeley.
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Linda N. Geng, MD, PhD
Clinical Associate Professor, Medicine - Primary Care and Population Health
Current Research and Scholarly InterestsMy scholarly focus is on puzzling and complex conditions. Our work aims to improve patients' diagnostic journeys, characterize poorly understood diseases, discover biological mechanisms, find treatments, improve care models, and reach communities in need.
With the COVID pandemic, the puzzling and complex illness of Long COVID or post-acute COVID-19 syndrome (PACS) emerged. Together with a multidisciplinary group of physicians and researchers, we launched a program here at Stanford to advance the care and understanding of Long COVID. Our goal is to better understand the natural history, clinical symptomatology, immunological response, risk factors, and subtypes of Long COVID. We are also actively assessing treatment strategies for Long COVID and developing care pathways and tools for clinicians to help their patients with this and other related infection-associated chronic illnesses.
