Stanford University
Showing 1,241-1,260 of 2,768 Results
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David R. Li, MD
Affiliate, Department Funds
Fellow in Medicine - Med/Pulmonary, Allergy & Critical Care MedicineBioDr. Li is a current Critical Care Medicine fellow at Stanford Healthcare, where he stayed on after completing residency training in Emergency Medicine. He is interested in healthcare informatics and is an Epic Physician Builder. Dr. Li is active in organized medicine & health policy, currently holding leadership positions in California Medical Association, and previously serving as a California Senate legislative intern.
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Dayan J. Li, MD, PhD
Clinical Scholar, Dermatology
Postdoctoral Scholar, Pediatric SurgeryCurrent Research and Scholarly InterestsWound healing, cutaneous fibrosis
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Ellen Yi Qing Li
Music 24teaching Aide, Music
Undergraduate, MusicBioMusic major with concentrations in piano performance and music history & ethnomusicology.
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Ethan Li
Ph.D. Student in Bioengineering, admitted Autumn 2018
BioI'm a final-year Bioengineering PhD candidate in Manu Prakash's lab. I work on projects to develop open platforms and tools for global health and frugal science. My practical work combines development and bring-up of new software, electronic, and mechanical systems; engineering design; open-source software maintenance; and field research.
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Fa Li
Postdoctoral Scholar, Earth System Science
BioMy research investigates greenhouse gases emissions, wildfires/climate extremes, and nature-based solutions by combining data-driven approaches (e.g., physically interpretable AI and causality inference), process-based terrestrial biosphere/Earth system models, and big data (e.g., remote sensing, in-situ measurements).
For example, together with our collaborators at Stanford and beyond, I play a leading role in FLUXNET-CH₄ V2.0, a global network of methane tower measurements, to enhance the monitoring of methane emissions and support Global Carbon Project-Methane Budget. These observations are not only important for carbon science, but also for AI in Earth science because "Data is the foundation of AI"–I believe.
I develop physically interpretable AI, integrating scientific principles to improve reliability, particularly when solving critical challenges such as climate and wildfire prediction. Because "black-box AI" with low "physical interpretability" often concerns me, why? -
Fei-Fei Li
Sequoia Capital Professor, Denning Co-Director (On Leave) of Stanford HAI, Senior Fellow at HAI and Professor, by courtesy, of Operations, Information and Technology at the Graduate School of Business
On Partial Leave from 01/01/2024 To 12/31/2025Current Research and Scholarly InterestsAI, Machine Learning, Computer Vision, Robotics, AI+Healthcare, Human Vision
