Stanford University
Showing 901-1,000 of 2,049 Results
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Brian Lantz
Professor (Research) of Applied Physics
Current Research and Scholarly InterestsMeasure gravitational waves
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Sofiane F. Larbi
Undergraduate, Mathematics
Biosofianelarbi.com
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Robert Laughlin
Anne T. and Robert M. Bass Professor in the School of Humanities and Sciences
BioProfessor Laughlin is a theorist with interests ranging from hard-core engineering to cosmology. He is an expert in semiconductors (Nobel Prize 1998) and has also worked on plasma and nuclear physics issues related to fusion and nuclear-pumped X-ray lasers. His technical work at the moment focuses on “correlated-electron” phenomenology – working backward from experimental properties of materials to infer the presence (or not) of new kinds of quantum self-organization. He recently proposed that all Mott insulators – including the notorious doped ones that exhibit high-temperature superconductivity – are plagued by a new kind of subsidiary order called “orbital antiferromagnetism” that is difficult to detect directly. He is also the author of A Different Universe, a lay-accessible book explaining emergent law.
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Benjamin Lev
Stanford Fortitude Professor
Current Research and Scholarly InterestsLevLab is a joint AMO & CM experimental group that explores the question: Can new classes of states and phases of quantum matter be created far away from equilibrium, and if so, what do we learn? We use our new technique, confocal cavity QED, to both engineer out-of-equilibrium quantum gases and 2D materials and to image and control their new properties.
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Craig Levin
Professor of Radiology (Molecular Imaging Program at Stanford/Nuclear Medicine) and, by courtesy, of Physics, of Electrical Engineering and of Bioengineering
Current Research and Scholarly InterestsMolecular Imaging Instrumentation
Laboratory
Our research interests involve the development of novel instrumentation and software algorithms for in vivo imaging of cellular and molecular signatures of disease in humans and small laboratory animal subjects. -
Warren Li
Postdoctoral Scholar, Mathematics
BioHello! I am a Stanford Science Fellow working in the Mathematics department. I am interested in the theory of nonlinear wave equations of mathematical physics, including the Einstein equations of General Relativity, the equations of gas mechanics, and related models. In particular, my research concerns a detailed understanding of "singularity formation" for such models, where energy is concentrated and interacts in such a way that the models, in some sense, break down. My focus is on understanding exactly how such a breakdown occurs and the physical implications.
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Xing Liang
Basic Life Res Scientist
Current Research and Scholarly InterestsMechanism of MT polarity establishment during PVD neuron dendrite outgrowing in C. elegans.
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Jared Duker Lichtman
Szego Assistant Professor of Mathematics
BioJared Duker Lichtman is a Szegő Assistant Professor in the Department of Mathematics. Jared earned his doctorate in 2023 at the University of Oxford, supervised by Prof. James Maynard.
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Song Lin
Visiting Scholar, Chemistry
BioSong Lin grew up in Tianjin, China. After obtaining B.S. from Peking University in 2008, he pursued graduate studies at Harvard University working with Eric Jacobsen. He then carried out postdoctoral studies with Chris Chang at UC Berkeley. He started his independent career at Cornell University in 2016 and was promoted to Associate Professor in 2021 and Tisch University Professor in 2023. He then joined Stanford University as a Professor of Chemistry in 2026. Song has received several early-career awards, including the Sloan Fellowship, ACS Cope Scholar, National Fresenius Award, Tetrahedron Young Investigator Award, Thieme–IUPAC Prize, Cottrell Scholar Award, Camille Dreyfus Teacher-Scholar Award, NSF CAREER Award, MIT Technology Review Innovators Under 35, BMS Unrestricted Grant, Lilly Research Award, and EPA Green Chemistry Challenge. His dedication to education has been recognized with a Stephen and Margery Russell Distinguished Teaching Award from Cornell University and a Nobel Laureate Signature Award for Graduate Education in Chemistry from the American Chemical Society. He is currently an Associate Editor at Organic Letters, and he serves on the Editorial Advisory Board of Chem, Synlett, Tetrahedron, and Tetrahedron Letters as well as the Scientific Advisory Board of OWiC Technologies.
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Andrei Linde
Humanities and Sciences Professor, Emeritus
BioWhat is the origin and the global structure of the universe?
For a long time, scientists believed that our universe was born in the big bang, as an expanding ball of fire. This scenario dramatically changed during the last 35 years. Now we think that initially the universe was rapidly inflating, being in an unstable energetic vacuum-like state. It became hot only later, when this vacuum-like state decayed. Quantum fluctuations produced during inflation are responsible for galaxy formation. In some places, these quantum fluctuations are so large that they can produce new rapidly expanding parts of the universe. This process makes the universe immortal and transforms it into a multiverse, a huge fractal consisting of many exponentially large parts with different laws of low-energy physics operating in each of them.
Professor Linde is one of the authors of inflationary theory and of the theory of an eternal inflationary multiverse. His work emphasizes the cosmological implications of string theory and supergravity.
Current areas of focus:
- Construction of realistic models of inflation based on supergravity and string theory
- Investigation of conceptual issues related to the theory of inflationary multiverse -
Scott W Linderman
Assistant Professor of Statistics
BioScott Linderman, PhD, is an Assistant Professor at Stanford University in the Statistics Department and the Wu Tsai Neurosciences Institute, as well as the Co-Director of the Stanford Center for Neural Data Science. His research focuses on machine learning, computational neuroscience, and the general question of how computational and statistical methods can help to decipher neural computation. His work combines novel methodological development in the areas of state space models, deep generative models, point processes, and approximate Bayesian inference with applied statistical analyses of large-scale neural and behavioral data. Previously, he was a postdoctoral fellow at Columbia University and a graduate student at Harvard University. His work has been recognized with a Savage Award from the International Society for Bayesian Analysis, an AISTATS Best Paper Award, an NSF CAREER Award, and fellowships from the McKnight, Sloan, and Simons Foundations.
