Stanford University
Showing 3,001-3,100 of 6,644 Results
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Renesmee Kuo
Ph.D. Student in Electrical Engineering, admitted Autumn 2022
BioRenesmee Kuo is an Electrical Engineering PhD candidate at Stanford University supported by NSF GRFP and Stanford Lieberman fellowship. Her research interests lie at the intersection of engineering and medicine. She focuses on validation of preclinical PET imaging tracers and their translation into the clinic for applications in neuroinflammatory diseases (e.g., MS, AD) and cancer (e.g., brain metastasis) in Prof. Michelle James' lab. She graduated from UC Berkeley with a BS in Bioengineering. At Berkeley, she worked in Prof. Steve Conolly's lab on Magnetic Particle Imaging (MPI), focusing on tracking CAR-T cells in immunotherapy using high-resolution MPI tracers. She also explored commercially-available high-resolution MPI tracers for early diagnosis of pulmonary embolisms and cardiovascular disease in preclinical settings.
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Hanna Lachnitt
Ph.D. Student in Computer Science, admitted Autumn 2020
BioI am a fourth year PhD student advised by Clark Barrett and part of the CENTAUR lab at Stanford University. My research interests lie in automated reasoning and formal verification. I am currently working on proofs for SMT solvers.
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Ching-Yao Lai
Assistant Professor of Geophysics
BioMy group attacks fundamental questions in fluid dynamics and geophysics 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.
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Jiewen Lai
Visiting Assistant Professor, Mechanical Engineering
BioJiewen (Sam) Lai is a Visiting Assistant Professor in the Department of Mechanical Engineering and the Center for Design Research at Stanford University, where he works with the Biomimetics and Dexterous Manipulation Lab. He is also a Research Assistant Professor in the Department of Electronic Engineering at The Chinese University of Hong Kong (CUHK). He earned his PhD in Mechanical Engineering from The Hong Kong Polytechnic University in 2022 and completed his postdoctoral training at CUHK in 2023.
Sam works on soft and bioinspired robotic systems, focusing on compliant mechanisms, modeling, mechatronics, sensorimotor control, and robophysical intelligence for biomedical applications. His work has been published in various venues, including Nature Rev. Electr. Eng., Nature Commun., IJRR, T-MECH, RA-L, and ICRA, among others. He has served as an Associate Editor for ICRA since 2023. -
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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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. -
James Landay
Denning 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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Patrick M. LaPlante
Graduate, Stanford Center for Professional Development
BioHi, I’m Patrick LaPlante, a product and engineering leader with over 30 years of experience in automotive and mobility. I’ve worked across global organizations including Toyota, Volvo, Lotus, and several EV startups, leading vehicle development from concept through production.
My background spans engineering, program management, and cross-functional leadership, with a focus on delivering complex products.
I’m currently at Form Energy in Berkeley, CA, working on next-generation energy storage solutions. -
Mathieu Lapôtre
Assistant Professor of Earth and Planetary Sciences and, by courtesy, of Geophysics and of Civil and Environmental Engineering
BioProf. Lapôtre leads the Earth & Planetary Surface Processes group. His research focuses on the physics behind sedimentary and geomorphic processes that shape planetary surfaces (including Earth's), and aims to untangle what sedimentary rocks tell us about the past hydrology, climate, and habitability of planets.
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Kincho Law
Professor of Civil and Environmental Engineering
BioProf. Law’s professional and research interests focus on the application of computational and information science in engineering. His work has dealt with various aspects of computational mechanics and structural dynamics, AI and machine learning, large scale database management, Internet and cloud computing, numerical methods and high performance computing. His research application areas include computer aided engineering, legal and engineering informatics, engineering enterprise integration, web services and supply chain management, monitoring and control of engineering systems, smart infrastructures, and smart manufacturing.
