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Wei Li

Adjunct Professor, Institute for Computational and Mathematical Engineering (ICME)

BioSummary:
After starting in supercomputing research for my PhD at Cornell and then spending nearly three decades at Intel—the last decade as the VP/GM of AI & Analytics—I returned to the research and startup ecosystem. Today, I am helping AI founders, Stanford students, and corporate boards 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.