Stanford University
Showing 1,201-1,300 of 2,454 Results
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Joseph Li
Graduate, Stanford Center for Professional Development
BioLearner and thinker in Artificial Intelligence, pushing the boundary of technology innovation for the good of the society.
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Thomas H Li
Ph.D. Student in Business Administration, admitted Autumn 2025
BioQuantitative Marketing
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Warren Li
Postdoctoral Scholar, Mathematics
BioHello! I am a Stanford Science Fellow working in the Mathematics department. I am interested in the theory of nonlinear wave equations of mathematical physics, including the Einstein equations of General Relativity, the equations of gas mechanics, and related models. In particular, my research concerns a detailed understanding of "singularity formation" for such models, where energy is concentrated and interacts in such a way that the models, in some sense, break down. My focus is on understanding exactly how such a breakdown occurs and the physical implications.
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Wei Li
Adjunct Professor, Institute for Computational and Mathematical Engineering (ICME)
BioDr. Wei Li is a Stanford Adjunct Professor and former Intel AI VP/GM & board member (PyTorch Foundation, Linux Foundation AI & Data). He partners with researchers, founders, VCs, and boards, focusing on AI innovation to enterprise-scale impact, agentic AI infrastructure, and Precision AI Governance. Previously, he spent nearly three decades at Intel—serving nine years as VP/GM of AI & Analytics—building full-stack AI platforms and hardware-software co-design that powered multi-billion-dollar product revenue. He received his Ph.D. in Computer Science from Cornell University focused on supercomputing and completed an executive program at the Stanford Graduate School of Business.
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 research, 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 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 teams across 10+ countries building full-stack AI software platforms and hardware-software co-design that powered multi-billion-dollar product revenues. 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
Associate Scientist, LCLS - Linac Coherent Light Source
BioXiang Li is a scientist in the AMO Sciences Department and Data Systems Division at LCLS. His research explores ultrafast molecular processes using tabletop and free-electron lasers, with a focus on probing the structure and dynamics of isolated molecules through Coulomb explosion imaging (CEI). He pioneered the use of artificial intelligence to derive physical chemistry insights from multidimensional CEI measurements. Xiang's work also includes the design, construction, and operation of experimental endstations at the LCLS AMO beamline, as well as software development for AMO experiments at free-electron laser facilities. He led the renovation of the double-sided velocity-map imaging spectrometer and the development of the DREAM spectrometer, a COLTRIMS reaction microscope designed for coincidence momentum imaging at LCLS-II.
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Yijie (Jamie) Li
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioI am a postdoctoral scholar at Stanford University, working on longitudinal wearable data to study interventions for diabetes and childhood obesity. I use computational and machine learning methods to extract actionable insights from high-resolution health data to improve treatment outcomes. Previously, I completed my Ph.D. in Computer Science at the University of Tulsa, focusing on machine learning for major depressive disorder using genomics, gene age, and neurofeedback. I also hold master’s degrees in Applied Economics and Finance from UC Santa Cruz and in Accountancy from the University of Tulsa, where I worked on financial modeling and stock market analysis.
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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.
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Zhe Li
Postdoctoral Scholar, Electrical Engineering
BioI am a postdoctoral fellow at Stanford University. My research focuses on speech large language models and robust speaker representation learning. You may learn more about me via my homepage: https://lizhe.link
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Zheng Li
Postdoctoral Scholar, Ophthalmology
BioZheng Li joined Stanford University as a postdoctoral fellow in August 2026, under the mentorship of Dr. Ahmad Al-Moujahed. Her research focuses on understanding the mechanisms underlying inherited retinal degenerations (IRDs), particularly retinitis pigmentosa (RP), and developing novel therapeutic strategies. By integrating single-cell transcriptomics, proteomics, and human-derived data, she aims to identify biomarkers and therapeutic targets for retinal degeneration.
She received her PhD from the Institut de la Vision in Paris, where she studied gene-agnostic neuroprotective strategies to preserve cone photoreceptors in RP. Her long-term goal is to translate mechanistic insights into new therapies for retinal diseases. -
Zhongxiao Li
Postdoctoral Scholar, Radiation Physics
BioZhongxiao Li is a postdoctoral researcher in Professor Ruijiang Li's lab at Stanford Medicine. His research focuses on computational biology and bioinformatics, particularly the development of deep learning methods for computational pathology and spatial transcriptomics/proteomics. Previously, his work has included developing machine learning models for histopathological image analysis, understanding gene regulation, and analyzing biological sequences.
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Zongbo Li
Postdoctoral Scholar, Health Policy
BioZongbo Li, PhD, is a postdoctoral researcher at Stanford Health Policy. His research focuses on applying simulation modeling and cost-effectiveness analysis to inform policy decisions related to substance use and infectious diseases. He evaluates overdose prevention interventions, including naloxone distribution and medications for opioid use disorder, with particular attention to vulnerable populations such as people who are incarcerated. His work also encompasses modeling infectious diseases and evaluating interventions for COVID-19, HIV, and HCV. Zongbo earned his PhD in Health Services Research, Policy & Administration from the University of Minnesota.
