Stanford University
Showing 2,181-2,190 of 7,899 Results
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Shai Friedland
Professor of Medicine (Gastroenterology and Hepatology)
Current Research and Scholarly Interests1. Gastrointestinal Endoscopy- Techniques and Outcomes
2. Noninvasive colorectal cancer screening
3. Medical device development in gastroenterology -
Anne L. Friedlander
Adjunct Professor, Program in Human Biology
BioAnne L. Friedlander, Ph.D, is the Assistant Director of Stanford Lifestyle Medicine, an Adjunct Professor in the Program in Human Biology, and a member of the Wu Tsai Human Performance Alliance. She has served as the Director of the Exercise Physiology Lab, the Director of the Mobility Division within the Stanford Center on Longevity (SCL), and the Associate Director for Education within the Geriatric Research, Education and Clinical Center (GRECC) at the VA Palo Alto. Dr. Friedlander has broad research experience in the areas of enhancing human performance, environmental physiology, and using physical activity and mobility to promote healthy aging. She also consults regularly with companies interested in developing new products, programs and ideas in the fitness and wellness space. She is passionate about the benefits of movement on the aging process and specializes in giving talks translating scientific findings on physiology and exercise into practical applications for people.
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Joshua Frieman
Professor of Particle Physics and Astrophysics and, by courtesy, of Physics
BioI carry out theoretical and observational research in cosmology on topics including dark energy, dark matter, and inflation, using tools such as large-scale structure, gravitational lensing, and supernovae, with increasing focus on the application of machine learning to the analysis of cosmic surveys. Cosmology is akin to archaeology on the grand scale: as an archaeologist uses pottery shards to reconstruct an ancient civilization and how it evolved, cosmologists use both small- and large-scale data to reconstruct the origin and evolution of the universe and to probe fundamental physics.
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Jason Alan Fries
Assistant Professor of Biomedical Data Science and of Medicine (Computational Medicine)
BioJason Fries' research focuses on training and evaluating foundation models for healthcare, positioned at the intersection of computer science, medical informatics, and hospital systems. His work explores the use of electronic health record (EHR) data to contextualize human health, leveraging longitudinal patient information to inform model development and evaluation. His research has been published in venues such as NeurIPS, ICLR, AAAI, Nature Communications, Nature Medicine and npj Digital Medicine.
