School of Humanities and Sciences
Showing 1-100 of 157 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
Professor of Applied Physics and of Physics
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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Percy Liang
Associate Professor of Computer Science, Senior Fellow at the Stanford Institute for Human-Centered AI, and Associate Professor, by courtesy, of Statistics
BioPercy Liang is an Associate Professor of Computer Science at Stanford University (B.S. from MIT, 2004; Ph.D. from UC Berkeley, 2011) and the director of the Center for Research on Foundation Models (CRFM). He is currently focused on making foundation models (in particular, language models) more accessible through open-source and understandable through rigorous benchmarking. In the past, he has worked on many topics centered on machine learning and natural language processing, including robustness, interpretability, human interaction, learning theory, grounding, semantics, and reasoning. He is also a strong proponent of reproducibility through the creation of CodaLab Worksheets. His awards include the Presidential Early Career Award for Scientists and Engineers (2019), IJCAI Computers and Thought Award (2016), an NSF CAREER Award (2016), a Sloan Research Fellowship (2015), a Microsoft Research Faculty Fellowship (2014), and paper awards at ACL, EMNLP, ICML, COLT, ISMIR, CHI, UIST, and RSS.
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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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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 is an Assistant Professor of Statistics and, by courtesy, Electrical Engineering and Computer Science at Stanford University. He is also an Institute Scholar in the Wu Tsai Neurosciences Institute and a member of Stanford Bio-X and the Stanford AI Lab. His lab works at the intersection of machine learning and computational neuroscience, developing statistical methods to analyze large scale neural data. Previously, Scott was a postdoctoral fellow with Liam Paninski and David Blei at Columbia University, and he completed his PhD in Computer Science at Harvard University with Ryan Adams and Leslie Valiant. He obtained his undergraduate degree in Electrical and Computer Engineering from Cornell University and spent three years as a software engineer at Microsoft before graduate school.
