Stanford University
Showing 6,101-6,150 of 12,275 Results
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Katherine Li
Program Success Manager, Sustainability Accelerator
BioKatherine Li is a Sustainability Technology & Business Analyst at the Stanford Sustainability Accelerator, where she supports Stanford-led research teams in externalizing their innovations to create sustainability impact. She holds an M.S. in Environmental Engineering from Stanford and a B.S. in Civil Engineering from Duke University, where she was a Pratt Research Fellow and NAE Grand Challenge Scholar.
Katherine previously worked in the Intellectual Property Office at Lawrence Berkeley National Laboratory, supporting the commercialization of energy and physical sciences technologies. Her research background spans water affordability, environmental pollution, and uncertainty modeling, with work conducted at Stanford, Duke, and Memorial University of Newfoundland. She has co-authored peer-reviewed publications and received multiple honors, including the Eric Pas Award for Outstanding Research from Duke, the NSERC Undergraduate Research Award, and the Stanford Digital Learning Design Challenge. She is also passionate about climate and science communication and has led youth-focused climate storytelling and education initiatives. -
Minxing Li
Senior Licensing and Strategic Alliances Manager, Life Sciences, Office of Technology Licensing (OTL)
BioMinxing is a Licensing and Strategic Alliances Manager at Stanford OTL with a focus on life sciences technologies. Since she joined Stanford in 2020, she has been involved in protecting, marketing and licensing of Stanford's intellectual property. She is currently responsible for managing Stanford's alliances with the Parker Institute for Cancer Immunotherapy (PICI), where she works closely with investigators who are part of the PICI network and manages IP and licensing matters under the PICI relationship.
Prior to Stanford, Minxing worked as a consultant at IQVIA, Inc. -
Sally S. Li
Executive Director, Medicine - Med/Family and Community Medicine
Current Role at StanfordExecutive Director, Center for Asian Health Research and Education (CARE)
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Wei Li
Adjunct Professor, Institute for Computational and Mathematical Engineering (ICME)
BioFrom 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. -
Wen Li
Basic Life Research Scientist, Pathology Operations supported expenses #2
BioWen’s research focuses on mitochondrial reverse electron transport (RET) in neurodegenerative diseases where tau pathology plays either a primary or secondary pathogenic role. Her work seeks to understand how pathological tau disrupts mitochondrial complex I function and RET, and how these alterations contribute to oxidative stress and neurodegeneration. Her research further explores whether targeting RET can provide a shared therapeutic strategy across tau-associated neurodegenerative diseases.
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Xiang Li
Assoc Sci - Ultrafast AMO, LCLS - Linac Coherent Light Source
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.
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Dong Liang
Instructional Designer Dvlpr 2, IT Services
BioMy background gives me a unique perspective on the question of learning design. I have formal education in both computer science and humanities, which means I am not only trained to understand how technologies work, but also have strong research and writing skills. Years of reading and writing argumentative essays makes me fluent at the art of communicating complex ideas. I have extensive classroom teaching experience, which gives me a big advantage when approaching the problem of instructional design because I learned how to create e-learning courses from brick-and-mortar experiences. Finally, my passion for education technology drives me toward using innovative tools to create engaging, immersive learning experiences, within or without a classroom.
