School of Engineering
Showing 21-30 of 51 Results
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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. -
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
On Partial Leave from 09/02/2024 To 10/20/2024Current 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. -
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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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) of Stanford HAI, 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 12/31/2025Current Research and Scholarly InterestsAI, Machine Learning, Computer Vision, Robotics, AI+Healthcare, Human Vision
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Zhiye Li
Affiliate, Center for Sustainable Development and Global Competitiveness
BioDr. Li is a research engineer in Civil and Environmental Engineering at Stanford University in the field of data-driven innovation and multiscale modeling on climate-resilient and sustainable civil infrastructures. She is also a researcher at the John A. Blume Earthquake Engineering Center at Stanford University and the Stanford Center at the Incheon Global Campus (SCIGC). Her interdisciplinary research integrates multiphysics model, machine learning, life cycle assessment and material innovation to accelerate the global net-zero transition. Within civil engineering, her research focuses on developing new building materials and building practices for more sustainable built environments. She researched at Hopkins Extreme Materials Institute and completed her Ph.D. in Civil Engineering at Johns Hopkins University.
