Vice Provost and Dean of Research
Showing 1,241-1,260 of 2,458 Results
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Jun-Sik Lee
Senior Scientist, SLAC National Accelerator Laboratory
BioDr. Lee boasts over 15 years of expertise in scientific inquiry and instrumentation within X-ray facilities. Throughout Dr. Lee's career as an X-ray scientist, the primary focus has been tackling fundamental queries within a spectrum of emerging materials, including high-Tc superconductivity, magnetism, multiferroicity, Li-ion batteries, photovoltaics, and heterostructures. His extensive repertoire includes deploying comprehensive X-ray studies employing both scattering and spectroscopy techniques across both hard and soft X-ray domains. He has not only leveraged existing methodologies but has also been instrumental in developing cutting-edge X-ray instruments, including advanced scattering and spectroscopic setups. These innovations have been pivotal in providing novel approaches necessary for addressing multifaceted scientific inquiries.
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Tanya S Lee
Instructional Designer/Developer 1, FSI
BioTanya Lee is an instructor the Stanford Program on International and Cross-Cultural Education (SPICE). She teaches the China Scholars Program (including the U.S.–China CoLab on Climate Solutions) and the Sejong Korea Scholars Program.
Bio: https://spice.fsi.stanford.edu/people/tanya-lee -
Victor R. Lee
Associate Professor of Education
Current Research and Scholarly InterestsAI literacy, data literacy, quantified self, maker education, conceptual change in science, elementary computer science education
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Wei-Sheng Lee
Lead Scientist, SLAC National Accelerator Laboratory
BioDr. Lee is a staff scientist at SLAC National Accelerator Lab and a PI at the Stanford Institute of Materials and Energy Sciences (SIMES) at SLAC. His research interest is to understand and control collective behaviors in quantum materials by using and developing x-ray techniques, including x-ray/photoemission spectroscopy, resonant/non-resonant inelastic x-ray scattering and time-resolved x-ray scattering using synchrotron radiation light source and x-ray free-electron laser.
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Christopher Lee-Messer, MD, PhD
Clinical Associate Professor, Pediatric Neurology
Clinical Associate Professor (By courtesy), PediatricsCurrent Research and Scholarly InterestsMy chief clinical focus is in pediatric epilepsy, especially how epilepsy affects learning and development. For my research, I background in neural development and computational neuroscience towards developing better learning algorithms and applying the latest techniques in machine learning for better diagnosis and treatment of disease.
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Larry John Leifer
Professor of Mechanical Engineering, Emeritus
Current Research and Scholarly InterestsOur "designXlab" at the Stanford Center for Design Research (CDR) has long (30+ years) been focused on Engineering Design Team dynamics at global collaboration scale working with corporate partners in my graduate course ME310ABC. In our most recent studies we have added Neuroscience visualization of brain activity using fMRI and fNIRS. In doing so we have launched "NeuroDesign" as a professional discipline.
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John Leikauf
Clinical Associate Professor, Psychiatry and Behavioral Sciences - Child & Adolescent Psychiatry and Child Development
Current Research and Scholarly InterestsI am interested in better understanding the heterogeneous cognitive and electrophysiological abnormalities in children with ADHD and the many other conditions that commonly co-occur with ADHD. The long-term goal is to be able to better target treatments to specific deficits in order to promote long-term health and well-being and improve outcomes that matter to individuals and families suffering from these disorders.
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Sanjiva Lele
Edward C. Wells Professor of the School of Engineering and Professor of Mechanical Engineering
BioProfessor Lele's research combines numerical simulations with modeling to study fundamental unsteady flow phemonema, turbulence, flow instabilities, and flow-generated sound. Recent projects include shock-turbulent boundary layer interactions, supersonic jet noise, wind turbine aeroacoustics, wind farm modeling, aircraft contrails, multi-material mixing and multi-phase flows involving cavitation. He is also interested in developing high-fidelity computational methods for engineering applications.
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Anna Lembke, MD
Professor of Psychiatry and Behavioral Sciences (General Psychiatry and Psychology-Adult)
BioDr. Anna Lembke received her undergraduate degree in Humanities from Yale University and her medical degree from Stanford University. She is currently Professor and Medical Director of Addiction Medicine, Stanford University School of Medicine. She is also Program Director of the Stanford Addiction Medicine Fellowship, Chief of the Stanford Addiction Medicine Dual Diagnosis Clinic, and a diplomate of the American Board of Psychiatry and Neurology and the American Board of Addiction Medicine.
In 2016, she published "Drug Dealer, MD – How Doctors Were Duped, Patients Got Hooked, and Why It’s So Hard to Stop" (Johns Hopkins University Press, 2016), highlighted in the New York Times as one of the top five books to read to understand the opioid epidemic (Zuger, 2018).
Dr. Lembke appeared in the Netflix documentary The Social Dilemma, an unvarnished look at the impact of social media on our lives.
Her latest book, "Dopamine Nation: Finding Balance in the Age of Indulgence" (Dutton/Penguin Random House, August 2021) was an instant New York Times and Los Angeles Times bestseller and has been translated into 30 languages. It combines the neuroscience of addiction with the wisdom of recovery to explore the problem of compulsive overconsumption in a dopamine-overloaded world. -
Mark Lemley
William Neukom Professor of Law and Senior Fellow at the Stanford Institute for Economic Policy Research
Current Research and Scholarly Interestsintellectual property, Internet, and antitrust law; law and AI/robotics
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Theodore Leng, MD, MS, FACS
Professor of Ophthalmology (Ophthalmology Research/Clinical Trials) and, by courtesy, of Anesthesiology, Perioperative and Pain Medicine (MSD)
Current Research and Scholarly InterestsDr. Leng was the first surgeon in California to perform a subretinal transplant of adult neural stem cells into patients with macular degeneration and is actively researching cell and gene regenerative therapies for macular degeneration, retinitis pigmentosa, Stargardt disease, and other degenerative conditions of the macula and retina. He also has an active program in imaging informatics, oculomics, and deep learning to identify patients who are at risk for eye and systemic disease. The end goal is earlier detection and rapid treatment to maximize outcomes.
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John Leppert
Professor of Urology and, by courtesy, of Nephrology
Current Research and Scholarly InterestsOur research aims to improve the global quality of care for patients with Urologic Cancer with a particular focus on kidney cancer. We are investigating novel proteomic platforms and assays to diagnose kidney cancer and predict response to therapy. We are evaluating the comparative effectiveness of various kidney cancer surgeries and their impact on chronic kidney disease and its downstream effects. We are applying epidemiology, bioinformatics, and health services methods to urologic conditions.
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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.
