Stanford University
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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 (BMIR)
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.
