Stanford University
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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. -
Zewen (Evan) Li
Graduate, Stanford Center for Professional Development
BioZewen (Evan) Li, Deep Learning Engineer @NVIDIA (Santa Clara) & Online Grad student @Stanford, received M.S. degree from Carnegie Mellon University, B.E. degree from Computer Science and Technology of Hohai University.
