Stanford University
Showing 1-10 of 155 Results
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Angelle Desiree LaBeaud
Professor of Pediatrics (Infectious Diseases), Senior Fellow at the Woods Institute for the Environment and Professor, by courtesy, of Epidemiology and Population Health and at the Stanford Doerr School of Sustainability
Current Research and Scholarly InterestsArthropod-borne viruses are emerging and re-emerging infections that are spreading throughout the world. Our laboratory investigates the epidemiology of arboviral infections, focusing on the burden of disease and the long-term complications on human health. In particular, Dr. LaBeaud investigates dengue, chikungunya, and Rift Valley fever viruses in Kenya, where outbreaks cause fever, arthritis, retinitis, encephalitis, and hemorrhagic fever. Our main research questions focus on the risk factors for arboviral infections, the development of diagnostic tests that can be administered in the field to quickly determine what kind of arboviral infection a person has, and the genetic and immunologic investigation of why different people respond differently to the same infection. Our long-term goals are to contribute to a deeper understanding of arboviral infections and their long-term health consequences and to optimize control strategies to prevent these emerging infections. Our laboratory also investigates the effects of antenatal and postnatal parasitic infections on vaccine responses, growth, and development of Kenyan children.
My lab at Stanford supports the field work that is ongoing in Kenya, but we also have several projects that are based locally. We strive to improve diagnostics of arboviral infections and are using Luminex technology to build a new screening assay. We also have created a Luminex based platform to assess vaccine responses against multiple pathogens. -
Amy Ladd, MD
Elsbach-Richards Professor of Surgery and Professor, by courtesy, of Medicine (Immunology & Rheumatology) and of Surgery (Plastic and Reconstructive Surgery)
Current Research and Scholarly InterestsResearch Interests
1. The kinematics and forces associated with thumb carpometcarpal (CMC) function and pathology
2. The anatomy, microstructure, and immunofluorescent characteristics of the thumb CMC joint
3. Pathomechaniics of CMC arthritis: biomechanical wear, injury, genetic, and environmental causes
4. Biomechanics of the golf swing
5. Archiving, vitalizing, and innovating medical and surgical knowledge, most recently with innovative iBook monographs -
Subhaneil Lahiri
Physical Sci Res Scientist
Current Research and Scholarly InterestsOur brains store long term memories by adjusting the strengths of the synapses connecting neurons. The tendency for new memories to overwrite old ones leads to a trade-off between learning and remembering: if synapses are too plastic older memories will be wiped out easily, if they are too rigid it becomes difficult to learn new memories. I am studying theoretical models of synapses to understand how their internal structure can be used to balance these effects and maximize their memory storage.
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Tze Leung Lai
Member, Wu Tsai Neurosciences Institute
Current Research and Scholarly InterestsResearch interests include clinical trial design, cancer biostatistics, survival analysis, adaptation and sequential experimentation, change-point detection and segmentation, stochastic optimization, time series and inference on stochastic processes, hidden Markov models and genomic applications.
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Rayhan A. Lal, MD
Assistant Professor of Medicine (Endocrinology) and of Pediatrics (Endocrinology)
BioI grew up in the east bay area and have had type 1 diabetes for 30+ years. I studied electrical engineering and computer science at U.C. Berkeley (Go Bears!) with the hope of applying my knowledge to diabetes technology. The significance of clinical practice became clear to me after my siblings also developed diabetes. I am devoting my life to advancing the care of diabetes in people of all ages.
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Sanjay Lall
Professor of Electrical Engineering
On Leave from 04/01/2024 To 06/30/2024BioSanjay 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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Monica Lam
Kleiner Perkins, Mayfield, Sequoia Capital Professor in the School of Engineering and Professor, by courtesy, of Electrical Engineering
BioDr. Monica Lam is a Professor in the Computer Science Department at Stanford University, and the Faculty Director of the Stanford Open Virtual Assistant Laboratory. Dr. Monica Lam obtained her BS degree in computer science from University of British Columbia, and her PhD degree in computer science from Carnegie Mellon University in 1987. She joined Stanford in 1988.
Professor Lam's current research is on conversational virtual assistants with an emphasis on privacy protection. Her research uses deep learning to map task-oriented natural language dialogues into formal semantics, represented by a new executable programming language called ThingTalk. Her Almond virtual assistant, trained on open knowledge graphs and IoT API standards, can be easily customized to perform new tasks. She is leading an Open Virtual Assistant Initiative to create the largest, open, crowdsourced language semantics model to promote open access in all languages. Her decentralized Almond virtual assistant that supports fine-grain sharing with privacy has received Popular Science's Best of What's New Award in Security in 2019.
Prof. Lam is also an expert in compilers for high-performance machines. Her pioneering work of affine partitioning provides a unifying theory to the field of loop transformations for parallelism and locality. Her software pipelining algorithm is used in commercial systems for instruction level parallelism. Her research team created the first, widely adopted research compiler, SUIF. She is a co-author of the classic compiler textbook, popularly known as the “dragon book”. She was on the founding team of Tensilica, now a part of Cadence.
Dr. Lam is a Member of the National Academy of Engineering and an Association of Computing Machinery (ACM) Fellow.
