Vice Provost and Dean of Research
Showing 581-590 of 1,155 Results
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Sanjay Lall
Professor of Electrical Engineering
BioSanjay Lall is Professor of Electrical Engineering in the Information Systems Laboratory and Professor of Aeronautics and Astronautics at Stanford University. He received a B.A. degree in Mathematics with first-class honors in 1990 and a Ph.D. degree in Engineering in 1995, both from the University of Cambridge, England. His research group focuses on algorithms for control, optimization, and machine learning. Before joining Stanford he was a Research Fellow at the California Institute of Technology in the Department of Control and Dynamical Systems, and prior to that he was a NATO Research Fellow at Massachusetts Institute of Technology, in the Laboratory for Information and Decision Systems. He was also a visiting scholar at Lund Institute of Technology in the Department of Automatic Control. He has significant industrial experience applying advanced algorithms to problems including satellite systems, advanced audio systems, Formula 1 racing, the America's cup, cloud services monitoring, and integrated circuit diagnostic systems, in addition to several startup companies. Professor Lall has served as Associate Editor for the journal Automatica, on the steering and program committees of several international conferences, and as a reviewer for the National Science Foundation, DARPA, and the Air Force Office of Scientific Research. He is the author of over 130 peer-refereed publications.
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Scott R. Lambert, MD
Professor of Ophthalmology and, by courtesy, of Pediatrics
Current Research and Scholarly InterestsMy research has focused on improving the visual outcomes of children with congenital cataracts. I organized a randomized clinical trial, the Infant Aphakia Treatment Study to compare the visual outcomes of infants optically corrected with a contact lens vs. an intraocular lens after unilateral cataract surgery. A second area of research has been ocular growth after cataract surgery.
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James Landay
Denning Co-Director of Stanford Institute for Human-Centered AI, Anand Rajaraman and Venky Harinarayan Professor and Senior Fellow at the Stanford Institute for Human-Centered AI
Current Research and Scholarly InterestsLanday's current research interests include Technology to Support Behavior Change (especially for health and sustainability), Demonstrational User Interfaces, Mobile & Ubiquitous Computing, Cross-Cultural Interface Design, Human-Centered AI, and User Interface Design Tools. He has developed tools, techniques, and a top professional book on Web Interface Design.
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Curtis Langlotz
Senior Associate Vice Provost for Research, Professor of Radiology (Integrative Biomedical Imaging Informatics), of Medicine (BMIR), of Biomedical Data Science and Senior Fellow at the Stanford Institute for Human-Centered AI
Current Research and Scholarly InterestsMy laboratory develops machine learning methods to help physicians detect disease and eliminate diagnostic errors. My laboratory is developing neural network systems that detect and classify disease on medical images. We also develop natural language processing methods that use the narrative radiology report for contrastive learning and other multi-modal methods that improve the accuracy and capability of machine learning systems.
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Maarten Lansberg, MD, PhD
Professor of Neurology and Neurological Sciences (Adult Neurology) and, by courtesy, of Neurosurgery
Current Research and Scholarly InterestsMy research involves the design and conduct of clinical trials to discover new treatments for patients who have suffered a stroke. These trials span treatment of acute stroke, stroke recovery, and stroke prevention. My research in acute stroke is primarily focused on the use of advanced neuroimaging methods (CT and MRI) to select patients who are most likely to benefit from therapies aimed at restoring blood flow to the brain in patients who have suffered a stroke.
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Tobias Lanz
Assistant Professor of Medicine (Immunology and Rheumatology)
BioTobias Lanz, MD is an Assistant Professor at the Institute for Immunity, Transplantation, and Infection and the Division of Immunology and Rheumatology at Stanford. His research focuses on B cell biology in neuroimmunological diseases and rheumatic diseases with neurological manifestations. He uses high-throughput screening technologies, and methods from structural and cell biology to identify new autoantigens and to understand how certain self-reactive B cells escape tolerance mechanisms. He is particularly interested in molecular mechanisms that explain the association between Epstein Barr Virus (EBV) and autoimmunity.
Tobias went to medical school at the Eberhard Karls University in Tübingen, Germany and at the University College of London. He wrote his MD thesis at Dr. Michael Platten's laboratory at the Hertie Institute for Clinical Brain Research in Tübingen, Germany before joining Dr. Lawrence Steinman’s neuroimmunological laboratory at Stanford as a research scholar. After medical school he pursued his scientific and clinical training at the German Cancer Research Center (DKFZ) and the Department of Neurology at the University Hospital in Heidelberg, Germany. In 2015 he joined Dr. William Robinson’s lab at Stanford, where he investigated environmental triggers of autoimmunity, including viruses and milk consumption. In his most recent work, he characterized the B cell repertoire in the spinal fluid of patients with multiple sclerosis (MS) and identified molecular mimicry between EBV EBNA1 and the glial cellular adhesion molecule GlialCAM as a driver of neuroinflammation (Lanz et al., Nature, 2022). His long term objective is to leverage these newly discovered mechanistic insights to develop next-generation biomarkers and therapeutics for autoimmune diseases. -
Philip W. Lavori
Professor of Biomedical Data Science, Emeritus
Current Research and Scholarly InterestsBiostatistics, clinical trials, longitudinal studies, casual inference from observational studies, genetic tissue banking, informed consent. Trial designs for dynamic (adaptive) treatment regimes, psychiatric research, cancer.
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Laura C. Lazzeroni, Ph.D.
Professor (Research) of Psychiatry and Behavioral Sciences, Emerita
Current Research and Scholarly InterestsStatistics/Data Science. I develop models, methods & algorithms for complex data in genetics and medicine. I am also interested in the interplay between fundamental statistical properties (e.g. variability, bias, p-values) & how scientists actually use & interpret data. My work in statistical genetics includes: the invention of Plaid bi-clustering for gene expression data; methods for twin, association, & family studies; multiple testing & estimation for high dimensional arrays.
