Stanford University
Showing 1,201-1,250 of 2,493 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, at the Stanford Institute for Economic Policy Research, and at the Precourt Institute for Energy
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
BioQuantitative 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)
BioSummary:
After beginning my career in supercomputing research during my PhD at Cornell and spending nearly three decades at Intel—including the last decade as VP/GM of AI & Analytics—I have returned to the research and startup ecosystem. Today, as an Adjunct Professor at Stanford, I work with AI founders, Stanford researchers, and corporate boards to help bridge the gap between AI innovation and real-world impact.
Current Academic & Clinical Focus:
As an Adjunct Professor in the School of Engineering and Affiliate Faculty at the Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI), I specialize in AI strategy, enterprise governance, and commercial scale. My work centers on Innovation to Impact (I2I) and Trusted AI—bridging the gap between frontier technical research, clinical adoption, and real-world deployment. I collaborate across the School of Engineering, the School of Medicine, and Stanford Health Care as a strategic architect and educator for AI deployment in high-stakes environments.
Enterprise & Open Source Leadership:
Prior to Stanford, I spent nearly three decades at Intel Corporation, serving as Vice President and General Manager of AI & Analytics. In this role, I led global engineering teams across 10+ countries building full-stack AI software platforms powering enterprise-scale infrastructure. A long-time advocate for open science and industry oversight, I previously served on the governing boards of the PyTorch Foundation and Linux Foundation AI & Data alongside leaders from Meta, Google, OpenAI, Hugging Face, and Microsoft.
Scholarship & Academic Background:
I hold a Ph.D. in Computer Science from Cornell University in supercomputing research and completed executive education at the Stanford Graduate School of Business. I am a recipient of the ACM ASPLOS Best Paper Award, a former Associate Editor for ACM TOPLAS, and served as the Intel Executive Sponsor for Cornell University while sitting on the funding committee overseeing $20M in parallel computing research at UC Berkeley and UIUC.
Keynotes & Media Contributions:
A prominent voice on AI strategy, enterprise deployment, and governance, I am a frequent keynote speaker at major global forums—including CES, the World AI Summit, GITEX, and Harvard Business School. I also regularly contribute expert commentary to leading business and technology outlets, including Bloomberg, Forbes, and Fortune. -
Wen Li
Basic Life Research Scientist, Pathology Operations supported expenses #2
BioWen’s research focuses on mitochondrial reverse electron transport (RET) in neurodegenerative diseases where tau pathology plays either a primary or secondary pathogenic role. Her work seeks to understand how pathological tau disrupts mitochondrial complex I function and RET, and how these alterations contribute to oxidative stress and neurodegeneration. Her research further explores whether targeting RET can provide a shared therapeutic strategy across tau-associated neurodegenerative diseases.
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Xiang Li
Assoc Sci - Ultrafast AMO, LCLS - Linac Coherent Light Source
BioI am a scientist in the AMO Sciences Department and Data Systems Division at the 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.
