Stanford University
Showing 1,231-1,240 of 2,493 Results
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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.
