Stanford University
Showing 18,051-18,060 of 36,301 Results
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Wei Li
Adjunct Professor, Institute for Computational and Mathematical Engineering (ICME)
BioDr. Wei Li is an AI executive and Stanford University Adjunct Professor operating at the intersection of AI strategy, Precision AI Governance, and enterprise scale. Wei works on Innovation to Impact (I2I) and Trusted AI—turning computational, AI, and interdisciplinary ideas into deployable systems, scalable products, and measurable business and clinical outcomes.
Currently, Wei collaborates across Stanford’s Schools of Engineering and Medicine, focusing on the deployment of AI in high-stakes environments where technical capability must meet rigorous standards for safety, ethics, and human-centric design.
Previously, as VP/GM of AI & Analytics (AIA) at Intel, Wei led global teams building full-stack AI platforms that generated multi-billion-dollar revenues. His commitment to industry-wide oversight is reflected in his prior governance leadership on the boards of the PyTorch Foundation and Linux Foundation AI & Data, where he championed collaboration alongside leaders from Meta, OpenAI, Google, and Microsoft.
A sought-after keynote speaker at Harvard Business School, Fortune, and the World AI Summit, Wei is a frequent contributor to outlets like Bloomberg on matters of AI strategy and enterprise risk management.
He holds a Ph.D. in Computer Science from Cornell University and completed an executive program at the Stanford Graduate School of Business. -
Xiang Li
Associate Scientist, SLAC National Accelerator Laboratory
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.
