School of Engineering
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Wei Li
Adjunct Professor, Institute for Computational and Mathematical Engineering (ICME)
BioSummary
From his Cornell supercomputing PhD to nearly three decades at Intel—the last decade as VP/GM of AI & Analytics—Dr. Wei Li is a Stanford Adjunct Professor partnering with researchers, founders, VCs, and boards to bridge AI innovation with enterprise-scale impact.
Current Academic & Clinical Focus
As an Adjunct Professor at the Institute for Computational and Mathematical Engineering (ICME) and Affiliate Faculty at the Center for Artificial Intelligence in Medicine and Imaging (AIMI), Dr. Li specializes in AI strategy, enterprise governance, and commercial scale. His work centers on Innovation to Impact (I2I) and Trusted AI—bridging the gap between frontier technical research, clinical adoption, and real-world deployment. He collaborates across Stanford Engineering, 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, Dr. Li spent nearly three decades at Intel Corporation, serving as Vice President and General Manager of AI & Analytics. In this role, he 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, he 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
Dr. Li holds a Ph.D. in Computer Science from Cornell University in supercomputing research and completed executive education at the Stanford Graduate School of Business. He is 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, Dr. Li is a frequent keynote speaker at major global forums—including CES, the World AI Summit, GITEX, and Harvard Business School. He also regularly contributes expert commentary to leading business and technology outlets, including Bloomberg, Forbes, and Fortune. -
Carissa Little
Associate Dean and Executive Director, Stanford Engineering Center for Global and Online Education
Current Role at StanfordAssociate Dean, Global and Online Education, School of Engineering
Executive Director, Center for Global and Online Education and Stanford Online -
Trevor Loy
Instructor, Stanford Engineering Center for Global and Online Education
BioTrevor Loy is the Managing Partner and Founder of Flywheel Ventures, a seed- and early-stage venture capital firm that has invested in emerging startup ecosystems for more than twenty-five years.
As an Adjunct Lecturer at Stanford, Trevor teaches entrepreneurial management and finance in the Management Science & Engineering Department, where he is affiliated with the Stanford Technology Ventures Program, a research and teaching center he helped create as a graduate student. He also teaches professional and executive education programs for the Stanford Engineering Center for Global & Online Education, as well as for global companies, universities, governments, and sovereign wealth funds.
Trevor shapes venture capital and entrepreneurship policy as a former director of the National Venture Capital Association and a current member of its Board Alumni Council. He also served as Chair of VenturePAC, the venture capital industry's national political action committee, and is a frequent expert witness in private litigation and government policymaking worldwide.
Before founding Flywheel, Trevor held founding, executive, and technical roles at startups including Brooktree, Gigabeat, and ParkingNet, as well as at large tech firms such as Intel, Rockwell, and Teradyne.
He holds a BS and MS in Electrical Engineering and an MS in Management Science & Engineering, all from Stanford University.
