Stanford University
Showing 18,001-18,050 of 36,179 Results
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Ron Li
Clinical Associate Professor, Medicine
BioRon Li is a Clinical Associate Professor of Medicine in the Division of Hospital Medicine and Center for Biomedical Informatics Research at Stanford University School of Medicine. As the Medical Informatics Director for Digital Health at Stanford Health Care, he provides medical and informatics direction for the health system's enterprise digital health portfolio, including expanding digital referral networks and virtual care modalities. He is also the founding Medical Director for Stanford Health Care at Home and the co-founder and Director for the Stanford Emerging Applications Lab (SEAL), which helps clinicians and staff build ideas into novel digital products that are prototyped and tested for care delivery at Stanford Health Care.
Ron's academic interests focus on the "delivery science" of new technological capabilities such as digital and artificial intelligence in healthcare and how to design, implement, and evaluate new tech enabled models of care delivery. Ron's work spans across multiple disciplines, including clinical medicine, data science, digital health, information technology, design thinking, process improvement, and implementation science. He has consulted for various companies in the digital health and artificial intelligence space. He is an attending physician on the inpatient medicine teaching service at Stanford Hospital and is the Associate Program Director for the Stanford Clinical Informatics Fellowship. -
Ruijiang Li
Associate Professor of Radiation Oncology (Radiation Physics)
Current Research and Scholarly InterestsMy lab's research is focused on the development of imaging and molecular biomarkers to improve cancer detection, diagnosis, prognostication, and prediction of therapy response. Our ultimate goal is to translate these biomarkers into clinical practice to guide optimal management and therapeutic decisions for precision cancer medicine.
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Sally S. Li
Executive Director, Medicine - Med/Family and Community Medicine
Current Role at StanfordExecutive Director, Center for Asian Health Research and Education (CARE)
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Shanjun Li
Steven and Roberta Denning Global Sustainability Professor, Senior Fellow at the Freeman Spogli Institute for International Studies and at the Stanford Institute for Economic Policy Research
BioShanjun Li is the Steven and Roberta Denning Global Sustainability Professor and a Senior Fellow at both the Freeman Spogli Institute for International Studies (FSI) and the Stanford Institute for Economic Policy Research (SIEPR). His research focuses on environmental and energy economics, urban and transportation economics, empirical industrial organization, and the Chinese economy. His recent work examines pressing sustainability challenges and the rapid rise of clean energy industries in China, exploring their global implications to inform evidence-based policymaking.
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Joseph Li
Graduate, Stanford Center for Professional Development
BioLearner and thinker in Artificial Intelligence, pushing the boundary of technology innovation for the good of the society.
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Thomas H Li
Ph.D. Student in Business Administration, admitted Autumn 2025
Grader, MarketingBioQuantitative Marketing
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Warren Li
Postdoctoral Scholar, Mathematics
BioHello! I am a Stanford Science Fellow working in the Mathematics department. I am interested in the theory of nonlinear wave equations of mathematical physics, including the Einstein equations of General Relativity, the equations of gas mechanics, and related models. In particular, my research concerns a detailed understanding of "singularity formation" for such models, where energy is concentrated and interacts in such a way that the models, in some sense, break down. My focus is on understanding exactly how such a breakdown occurs and the physical implications.
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Wei Li
Adjunct Professor, Institute for Computational and Mathematical Engineering (ICME)
BioDr. Wei Li is an accomplished AI software executive and Adjunct Professor in ICME at Stanford University. Known for scaling cutting-edge innovation into multi-billion dollar businesses, he previously served as the VP/GM of AI Software Engineering at Intel. Dr. Li also shapes the global AI ecosystem as a board member for both the PyTorch Foundation and the Linux Foundation AI&Data, and has advised numerous AI startups. He holds a Ph.D. in Computer Science from Cornell University.
Executive Impact and Commercialization: In the last decade, Wei led teams that developed full stack AI software, models, solutions, and co-designing AI hardware, which contributed to generating multi-billion-dollar AI revenue for Intel. His teams earned five Intel Achievement Awards. On performance and scale, improved AI performance by 10-100X through software acceleration of frameworks and libraries, secured the #1 ranking for 7B LLMs on Hugging Face, and supported training a 1 trillion-parameter model with Argonne National Laboratory on a 60,000-GPU supercomputer. On products, built enterprise ready AI solutions, co-designed AI-accelerated CPU/GPUs, and integrated advanced optimizations into the most popular software frameworks such as PyTorch with 100M+ annual downloads.
Ecosystem Leadership and Influence: Wei forged collaborations with Meta (PyTorch, Llama), OpenAI (Triton), Google (TensorFlow), Microsoft (DeepSpeed), Hugging Face, Accenture, and AI startups. He delivered keynotes and insights at Fortune, Bloomberg, World AI Summit, Forbes, GITEX, London AI Summit, VentureBeat, ZDNet, DataMakers Fest, New York AI Summit, and Milken Institute. Wei lectured on AI at Stanford, Harvard Business School, University of Texas-Austin, University of Chicago, University of Salerno, Technion - Israel Institute of Technology, Sapienza University of Rome, and University of Lisbon. -
Xiang Li
Associate Scientist, SLAC National Accelerator Laboratory
BioI am a scientist in the Atomic, Molecular and Optical (AMO) Sciences Department and Data Systems Division at the Linac Coherent Light Source (LCLS). Investigating the ultrafast processes in atoms and molecules with charged-particle spectroscopy at x-ray free-electron lasers is the major theme of my research. It consists of three interconnected endeavors. One is to understand the material response to ultra-intense x-rays at the atomic level, and another is to exploit such x-rays as the probe for unraveling photo-induced molecular dynamics. And the third is to develop machine learning algorithms for solving some of the bottleneck problems in our field. I am involved in the design, assembly, and operation of experimental endstations at the AMO beamline of the LCLS, as well as the software development for AMO experiments performed at free-electron laser facilities.
