School of Engineering
Showing 3,201-3,300 of 6,583 Results
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Marly LeSene
Program Director, Communications & Initiatives, Bioengineering
Current Role at StanfordProgram Director, Communications & Initiatives
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Jure Leskovec
Professor of Computer Science
BioJure Leskovec is Professor of Computer Science at Stanford University. He is affiliated with the Stanford AI Lab, Machine Learning Group and the Center for Research on Foundation Models. In the past, he served as a Chief Scientist at Pinterest and was an investigator at Chan Zuckerberg BioHub. Leskovec recently pioneered the field of Graph Neural Networks and co-authored PyG, the most widely-used graph neural network library. Research from his group has been used by many countries to fight COVID-19 pandemic, and has been incorporated into products at Facebook, Pinterest, Uber, YouTube, Amazon, and more.
His research received several awards including Microsoft Research Faculty Fellowship in 2011, Okawa Research award in 2012, Alfred P. Sloan Fellowship in 2012, Lagrange Prize in 2015, and ICDM Research Contributions Award in 2019. His research contributions have spanned social networks, data mining and machine learning, and computational biomedicine with the focus on drug discovery. His work has won 12 best paper awards and 5 10-year test of time awards at a premier venues in these research areas.
Leskovec received his bachelor's degree in computer science from University of Ljubljana, Slovenia, PhD in machine learning from Carnegie Mellon University and postdoctoral training at Cornell University. -
Jerker Lessing
Adjunct Professor, Civil and Environmental Engineering
BioI earned my PhD at Lund University, Sweden, focused on strategic aspects of industrialized construction. I am the CEO and founder of Lessing Innovation, an advisory and consultancy firm within construction industrialization, innovation and sustainability. Between 2015-2023 I had the role as Director of Research & Development at BoKlok, Sweden’s leading housing company within industrialized construction. Before joining BoKlok, I worked for one of Sweden's leading engineering firms, Tyréns AB, where I led a team of Consultants focusing on Construction innovation. I was also engaged by leading Construction and housing companies as a consultant and advisor for numerous innovation- and development projects aimed at industrialized construction.
I am frequently engaged as a lecturer and moderator in both academia and industry, have co-authored a book about industrialized construction and I publish research in international Journals.
I have been a visiting researcher and lecturer at Stanford University since 2013 and since 2017 I am adjunct Professor here. At Stanford I have established and taught the course CEE324 Industrialized Construction, organized study trips for Stanford students and faculty to Sweden, as well as organized the Industrialized Construction Forum which is a industry-academia conference, held annually.
In my research I developed a framework describing contemporary industrialized construction, which has served as a foundation for academic research, as well as a guide for the industry’s development, in Sweden and internationally. -
Marc Levenston
Associate Professor of Mechanical Engineering and, by courtesy, of Radiology (Radiological Sciences Laboratory)
Current Research and Scholarly InterestsMy lab's research involves the function, degeneration and repair of musculoskeletal soft tissues, with a focus on meniscal fibrocartilage and articular cartilage. We are particularly interested in the complex interactions between biophysical and biochemical cues in controlling cell behavior, the roles of these interactions in degenerative conditions such as osteoarthritis, and development of tissue engineered 3D model systems for studying physical influences on primary and progenitor cells.
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Craig Levin
Professor of Radiology (Molecular Imaging Program at Stanford/Nuclear Medicine) and, by courtesy, of Physics, of Electrical Engineering and of Bioengineering
Current Research and Scholarly InterestsMolecular Imaging Instrumentation
Laboratory
Our research interests involve the development of novel instrumentation and software algorithms for in vivo imaging of cellular and molecular signatures of disease in humans and small laboratory animal subjects. -
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.
