School of Engineering
Showing 201-300 of 510 Results
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Guy Maverick Levin
Undergraduate, Computer Science
BioI (legally) hacked my country’s national grading system in high school, then hacked everything else as a soldier in the Israeli military, and now I’m a student at Stanford.
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Philip Levis
Professor of Computer Science and of Electrical Engineering
BioProfessor Levis' research focuses on the design and implementation of efficient software systems for embedded wireless sensor networks; embedded network sensor architecture and design; systems programming and software engineering.
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Raymond Levitt
Kumagai Professor in the School of Engineering, Emeritus
Current Research and Scholarly InterestsDr. Levitt founded and directs Stanford’s Global Projects Center (GPC), which conducts research, education and outreach to enhance financing, governance and sustainability of global building and infrastructure projects. Dr. Levitt's research focuses on developing enhanced governance of infrastructure projects procured via Public-Private Partnerships (PPP) delivery, and alternative project delivery approaches for complex buildings like full-service hospitals or data centers.
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Marc Levoy
VMware Founders Professor in Computer Science and Professor of Electrical Engineering, Emeritus
BioLevoy's current interests include the science and art of photography, computational photography, light field sensing and display, and applications of computer graphics in microscopy and biology.
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Ricardo B Levy
Adjunct Professor, Chemical Engineering
BioRicardo Levy is an executive and entrepreneur whose career spans more than three decades of founding and building successful businesses. Born and raised in South America to a European immigrant family, he completed engineering studies in the United States at Stanford and Princeton before returning to South America to run a family business. In 1969 he sold the business and returned to the United States to complete his Ph.D. at Stanford in the field of catalytic chemistry. In 1974, after a number of years in the petroleum and petrochemical industry, he co-founded his first entrepreneurial venture, Catalytica, a research and development firm serving the chemical, pharmaceutical, and clean energy industries. The firm’s discoveries resulted in over one hundred patents and led to the formation of three companies, one of which became, under Levy’s leadership, the largest supplier to the pharmaceutical industry in North America and was sold to European firm DSM in 2000. He has served on several public and private Boards, is Lead Director of the Board of a private analytics software company, and serves on the Board of Aquarius Energy, Inc. From 2010 to 2016 served on the Advisory Board of the Santa Clara University Miller Center for Social Entrepreneurship, a global incubator of social entrepreneurs. He continues to be a mentor for that program. He is a Lecturer at the Stanford University Chemical Engineering Department, where he teaches a course on entrepreneurship, leadership and new venture creation. He is the author of the book “Letters to a Young Entrepreneur: Succeeding in Business Without Losing at Life – A Leader’s Ongoing Journey” published in 2015. Throughout his life, Dr. Levy has pursued a keen interest in spirituality and personal growth and his conviction that a person’s inner beliefs and purpose are deeply linked to business success. He has continually applied his diverse studies to his roles as a business leader, mentor and teacher.
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Adrian Lew
Professor of Mechanical Engineering
BioProf. Lew's interests lie in the broad area of computational solid mechanics. He is concerned with the fundamental design and mathematical analysis of material models and numerical algorithms.
Currently the group is focused on the design of algorithms to simulate hydraulic fracturing. To this end we work on algorithms for time-integration embedded or immersed boundary methods. -
Fei-Fei Li
Sequoia Capital Professor, Denning Co-Director (On Leave) Stanford Institute for Human-Centered AI, Senior Fellow at HAI and Professor, by courtesy, of Operations, Information and Technology at the Graduate School of Business
On Partial Leave from 01/01/2024 To 08/31/2027Current Research and Scholarly InterestsAI, Machine Learning, Computer Vision, Robotics, AI+Healthcare, Human Vision
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Zetian Li
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2024
Current Research and Scholarly InterestsStatistical Learning, Machine Learning, Bayesian Statistics, Probability Theory
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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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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. -
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
Professor of Computer Science
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.
