Stanford University
Showing 16,851-16,900 of 36,179 Results
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Fadi George Lakkis
Professor of Medicine (Nephrology)
Current Research and Scholarly InterestsI study how the immune system rejects transplanted organs, with the goal of improving long-term transplant outcomes. A related area of research in my laboratory is the relationship between maternal-fetal immune interactions and reproductive success.
https://pubmed.ncbi.nlm.nih.gov/?term=Lakkis+FG%5BAuthor%5D&sort=date -
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
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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Shoeb Lallani
Resident in Adult Neurology
Affiliate, Department FundsBioStanford Neurology Residency 2026 | Research in Schnitzer Lab | Interested in basal ganglia circuity and identification of molecular markers to serve as therapeutic targets for the treatment of movement disorders
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Anand Vikas Lalwani
Adjunct Lecturer, Electrical Engineering
BioAnand is a Graduate Student researcher in XLab (advisor: Debbie Senesky).
Anand's research work includes developing and deploying sensors for environmental and energy industries. Sensors developed include techniques for Hall Effect sensors to measure AC magnetic fields, deployable and low cost ammonia sensor for rivers and lakes, CO2 sensors for down-hole applications.
Anand's interests outside of research include startups and solving problems. Anand is committed to developing technologies that tackle pressing issues and translating work form lab into a startup. -
Ivan Lam
Affiliate, Medicine - Med/Family and Community Medicine
BioIvan is a rising third-year medical student from the University of Hong Kong and a research scholar with the Stanford Center for Asian Health Research and Education. He is also a visiting scholar at Yale to study palliative medicine, global health and bioethics.
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Linda Lam
Digital Imaging Production Coordinator, Library Technology
Current Role at StanfordAs part of Stanford Libraries' Digital Production Group (DPG), I coordinate and manage mass digitization projects. My responsibilities include daily oversight of lab personnel and workflows, involving materials preparation, equipment and software troubleshooting, quality control and data management.
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Mable Lam
Instructor, Neurosurgery
Current Research and Scholarly InterestsMyelin is required for rapid nerve signaling by insulating axons to accelerate action potential propagation. Myelin-forming cells of the central nervous system, called oligodendrocytes, orchestrate one of the most complex morphological transformations in neurobiology. Each oligodendrocyte can extend multiple processes that selectively wrap axons in tens to hundreds of spiraling membrane layers, forming myelin sheaths that vary in thickness and length. Furthermore, oligodendrocytes can respond to neural activity by adding new sheaths or by changing the geometry of pre-existing sheaths to tune neural circuitry, a process known as adaptive myelination.
What are the membrane trafficking mechanisms that drive adaptive myelination in oligodendrocytes?
How can these mechanisms be stimulated to promote myelin regeneration in disease?
By using transgenic mouse models and primary oligodendrocytes, we have found that SNARE-mediated exocytosis drives membrane addition in myelin sheaths. Current research is focused on how these pathways in oligodendrocytes may be regulated during adaptive myelination. -
Monica Lam
Kleiner Perkins, Mayfield, Sequoia Capital Professor in the School of Engineering, Professor of Computer Science and, by courtesy, of Electrical Engineering
BioProfessor Lam's current research interest is to create effective and reliable AI assistants to accelerate the discovery of knowledge. Her OVAL lab has created numerous open-source LLM-based tools used by consumers, historians, and journalists in their work; currently, she is focusing on research assistants that can discover new insights for biomedicine and other technical areas.
Professor Lam's team has created the first quantifiably factual and engaging conversational agent, which has won the Best Research of the Year Award from Wikimedia Foundation; pioneered deep research agent called STORM that has been used by about a million users; developed the best-performing agent for retrieving knowledge from hybrid sources, including databases, knowledge graphs, and free-text, currently deployed at Wikimedia; created an agent framework that produces fluent task-oriented agents that do not hallucinate.
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.
