School of Engineering
Showing 3,201-3,300 of 6,464 Results
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Wei Li
Adjunct Professor, Institute for Computational and Mathematical Engineering (ICME)
BioDr. Wei Li works at the intersection of AI strategy, governance, and enterprise impact.
Wei is an AI executive and Adjunct Professor at Stanford University, focusing on Innovation to Impact (I2I)—turning computational, AI, and interdisciplinary ideas into deployable systems, scalable products, and measurable business, societal and clinical outcomes.
Previously, Wei served as VP/GM of AI & Analytics (AIA) at Intel, leading large global teams that built full-stack AI software platforms and shaping AI product strategy, ecosystem development, and enterprise deployment at scale, driving multi-billion-dollar AI revenue across enterprise and industry use cases. He also previously served on the boards of the PyTorch Foundation and Linux Foundation AI&Data, contributing to open-source governance, industry collaboration, and responsible AI adoption. Wei has collaborated with leading technology companies including Meta, OpenAI, Google, Microsoft, Hugging Face, AWS, and Accenture, as well as emerging startups. He has delivered keynotes and lectures at leading forums, including the World AI Summit and Harvard Business School, and engage with media such as Bloomberg to share insights on AI strategy, governance, and enterprise impact.
Wei regularly advises executives and boards on AI strategy, governance, and risk management—particularly where AI materially affects competitiveness, scale, and regulatory exposure. Wei holds a Ph.D. in Computer Science from Cornell University and completed an executive program at Stanford Graduate School of Business. -
Jing Liang
Postdoctoral Scholar, Computer Science
BioJing Liang is a postdoctoral scholar in the Department of Computer Science at Stanford University, where he is affiliated with the Stanford Robotics Center and the Stanford Center on Longevity. He received his Ph.D. in Computer Science from the University of Maryland, College Park.
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Percy Liang
Associate Professor of Computer Science, Senior Fellow at the Stanford Institute for Human-Centered AI, and Associate Professor, by courtesy, of Statistics
BioPercy Liang is an Associate Professor of Computer Science at Stanford University (B.S. from MIT, 2004; Ph.D. from UC Berkeley, 2011) and the director of the Center for Research on Foundation Models (CRFM). He is currently focused on making foundation models (in particular, language models) more accessible through open-source and understandable through rigorous benchmarking. In the past, he has worked on many topics centered on machine learning and natural language processing, including robustness, interpretability, human interaction, learning theory, grounding, semantics, and reasoning. He is also a strong proponent of reproducibility through the creation of CodaLab Worksheets. His awards include the Presidential Early Career Award for Scientists and Engineers (2019), IJCAI Computers and Thought Award (2016), an NSF CAREER Award (2016), a Sloan Research Fellowship (2015), a Microsoft Research Faculty Fellowship (2014), and paper awards at ACL, EMNLP, ICML, COLT, ISMIR, CHI, UIST, and RSS.
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Kang Rui Garrick Lim
Postdoctoral Scholar, Chemical Engineering
BioI am a materials chemist from Singapore and a Stanford Energy Postdoctoral Fellow with Prof. Matteo Cargnello and Prof. Thomas Jaramillo. In 2027, I will start as a Nanyang Assistant Professor of Materials Science & Engineering at Nanyang Technological University (NTU) in Singapore. I completed my PhD and Master's degree in chemistry at Harvard under Prof. Joanna Aizenberg, and my Bachelor's degree in chemistry from the National University of Singapore (NUS).
At Stanford (2025-), I work on colloidal catalyst design for CO2 conversion as part of the SUNCAT Center for Interface Science and Catalysis. During my PhD at Harvard (2020-2025), I integrated colloidal templating and self-assembly concepts into catalyst design to design 3D macroporous inverse opal structures incorporating dilute alloy nanoparticles to serve as a model thermocatalytic platform. Previously, at NUS and IMRE A*STAR in Singapore (2019-2020), I synthesized MXene nanohybrids for electrocatalysis and designed core-shell quantum dots for light harvesting. My broader research interest is to leverage on colloidal design of catalytic architectures–their active sites and immediate environment–to bridge the materials gap in catalyst design for low carbon energy research. -
Michael Lin
Professor of Neurobiology, of Bioengineering and, by courtesy, of Chemical and Systems Biology
Current Research and Scholarly InterestsOur lab applies biochemical and engineering principles to the development of protein-based tools for investigating biology in living animals. Topics of investigation include fluorescent protein-based voltage indicators, synthetic light-controllable proteins, bioluminescent reporters, and applications to studying animal models of disease.
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Aaron Lindenberg
Professor of Materials Science and Engineering and of Photon Science
BioLindenberg's research is focused on visualizing the ultrafast dynamics and atomic-scale structure of materials on femtosecond and picosecond time-scales. X-ray and electron scattering and spectroscopic techniques are combined with ultrafast optical techniques to provide a new way of taking snapshots of materials in motion. Current research is focused on the dynamics of phase transitions, ultrafast properties of nanoscale materials, and charge transport, with a focus on materials for information storage technologies, energy-related materials, and nanoscale optoelectronic devices.
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Christian Linder
Professor of Civil and Environmental Engineering
BioChristian Linder is a Professor of Civil and Environmental Engineering and, by courtesy, of Mechanical Engineering. Through the development of novel and efficient in-house computational methods based on a sound mathematical foundation, the research goal of the Computational Mechanics of Materials (CM2) Lab at Stanford University, led by Dr. Linder, is to understand micromechanically originated multi-scale and multi-physics mechanisms in solid materials undergoing large deformations and fracture. Applications include sustainable energy storage materials, flexible electronics, and granular materials.
Dr. Linder received his Ph.D. in Civil and Environmental Engineering from UC Berkeley, an MA in Mathematics from UC Berkeley, an M.Sc. in Computational Mechanics from the University of Stuttgart, and a Dipl.-Ing. degree in Civil Engineering from TU Graz. Before joining Stanford in 2013 he was a Junior-Professor of Micromechanics of Materials at the Applied Mechanics Institute of Stuttgart University where he also obtained his Habilitation in Mechanics. Notable honors include a Fulbright scholarship, the 2013 Richard-von-Mises Prize, the 2016 ICCM International Computational Method Young Investigator Award, the 2016 NSF CAREER Award, and the 2019 Presidential Early Career Award for Scientists and Engineers (PECASE). -
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
