Stanford University


Showing 11-20 of 503 Results

  • Subhaneil Lahiri

    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.

  • Ching-Yao Lai

    Ching-Yao Lai

    Assistant Professor of Geophysics

    BioMy group attacks fundamental questions in ice-dynamics, geophysics, and fluid dynamics by integrating mathematical and machine-learned models with observational data. We use our findings to address challenges facing the world, such as advancing our scientific knowledge of ice dynamics under climate change. The length scale of the systems we are interested in varies broadly from a few microns to thousands of kilometers, because the governing physical principles are often universal across a range of length and time scales. We use mathematical models, simulations, and machine learning to study the complex interactions between fluids and elasticity and their interfacial dynamics, such as multiphase flows, flows in deformable structures, and cracks. We extend our findings to tackle emerging topics in climate science and geophysics, such as understand the missing physics that governs the flow of ice sheets in a warming climate. We welcome collaborations across disciplinary lines, from geophysics, engineering, physics, applied math to computer science, since we believe combining expertise and methodologies across fields is crucial for new discoveries.

  • Tze Leung Lai

    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.

  • David D. Laitin

    David D. Laitin

    James T. Watkins IV and Elise V. Watkins Professor

    BioDavid D. Laitin is the James T. Watkins IV and Elise V. Watkins Professor of Political Science at Stanford University. He received his BA from Swarthmore College, and then served as a Peace Corps Volunteer in Somalia and Grenada, where he became national tennis champion in 1970. Back in the US, he received his Ph.D. in political science from UC Berkeley, working under the direction of Ernst Haas and Hanna Pitkin.

    He has taught at three great universities: UCSD (1975-87), the University of Chicago (1987-1999) and now at Stanford. Over his career, as a student of comparative politics, he has conducted field research in Somalia, Yorubaland (Nigeria), Catalonia (Spain), Estonia, and France, all the time focusing on issues of language and religion, and how these cultural phenomena link nation to state. His books include Politics, Language and Thought: The Somali Experience (1977), Hegemony and Culture: Politics and Religious Change among the Yoruba (1986), Language Repertoires and State Construction in Africa (1992), Identity in Formation: The Russian-Speaking Populations in the Near Abroad (1998); Nations, States and Violence (2007); Why Muslim Integration Fails in Christian-Heritage Societies (2016); and African Politics Since Independence (2019).

    In collaboration with James Fearon, he has published several papers on ethnicity, ethnic cooperation, the sources of civil war, and on policies that work to settle civil wars. Laitin has also collaborated with Alan Krueger on international terrorism and with Eli Berman on suicide terrorism.

    In 2008-2009, with support from the National Science Foundation, and with a visiting appointment at Sciences-Po Paris, Laitin conducted ethnographic, survey and experimental research on Muslim integration into France, seeking to assess the magnitude of religious discrimination and isolate the mechanisms that sustain it. In collaboration with Claire Adida and Marie-Anne Valfort, they published the results in Why Muslim Integration Fails in Christian Heritage Societies (Harvard Press, 2016).

    In 2016, Laitin became co-director of Stanford's Immigration Policy Lab, and has co-authored several papers published in "Science", "Proceedings of the National Academy of Sciences" and "Nature Human Behavior" that estimate the effects of policy on immigrant integration.

    Laitin has been a recipient of fellowships from the Howard Foundation, the Rockefeller Foundation, the Guggenheim Foundation, and the Russell Sage Foundation. He is an elected member of the American Academy of Arts and Sciences and the National Academy of Sciences. In 2021 Laitin was the recipient of the John Skytte Prize in Political Science from the Johan Skytte Foundation in Uppsala University, Sweden.

  • Rayhan A. Lal, MD

    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.

  • Sanjay Lall

    Sanjay Lall

    Professor of Electrical Engineering
    On Leave from 04/01/2024 To 06/30/2024

    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.