Stanford University
Showing 81-100 of 2,490 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 -
Saharat Laksanasut
Masters Student in Education, admitted Autumn 2026
BioSaharat Laksanasut is a graduate student in the M.S. in Learning, Design and Technology (LDT) program at the Stanford Graduate School of Education. His academic interests center on learning sciences, educational technology, artificial intelligence in education, learning experience design, and English language education.
Before joining Stanford, Saharat served as an English teacher and educational researcher in Thailand, where he designed innovative learning experiences and led projects in educational innovation, teacher professional development, and digital learning. His work integrates design thinking, gamification, and evidence-based pedagogies to create engaging and inclusive learning environments.
Saharat is passionate about designing human-centered learning experiences that empower learners and educators through technology. His long-term goal is to advance educational innovation by bridging research, design, and practice to improve learning opportunities in Thailand and beyond. -
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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Anand Vikas Lalwani
Affiliate, Program-Senesky, D.
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.