Stanford University
Showing 1-50 of 1,944 Results
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Tom Abel
Professor of Particle Physics and Astrophysics and of Physics
BioWhat were the first objects that formed in the Universe, what is it made of, how does it work? Prof. Abel's group explores all of cosmic history using ab initio supercomputer calculations. He has shown from first principles that the very first luminous objects are very massive stars and has developed novel numerical algorithms using adaptive-mesh-refinement simulations that capture over 14 orders of magnitude in length and time scales. He has shown how the first stars galaxies form and affect everything that follows later. He has been pioneering novel numerical algorithms to study collisionless fluids such as dark matter as well as astrophysical and terrestrial plasmas. He has designed bespoke summary statistics to have interpretable, robust, efficient, summary statistics to describe spatial clustering based on fast nearest neighbor searches. His recent work is on creating digital twins of astronomical objects and the Universe as a whole in the context of the Center for Decoding the Universe. This Center leverages advances in machine learning and artificial intelligence to make sense of our Universe. He was the director of the Kavli Institute for Particle Astrophysics and Cosmology and Division Director at SLAC 2013-2018.
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Soud Al Kharusi
Postdoctoral Scholar, Physics
Current Research and Scholarly InterestsExperimental/astrophysical probes of neutrinos, fundamental symmetries, and cosmological models.
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Steven Allen
Professor of Physics and of Particle Physics and Astrophysics
Current Research and Scholarly InterestsObservational astrophysics and cosmology; galaxies, galaxy clusters, dark matter and dark energy; applications of statistical methods; X-ray astronomy; X-ray detector development; optical astronomy; mm-wave astronomy; radio astronomy; gravitational lensing.
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Daniel Altman
Postdoctoral Scholar, Mathematics
Current Research and Scholarly InterestsCombinatorics, Number Theory; in particular additive combinatorics, higher-order Fourier analysis.
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Shreya Anand
Postdoctoral Scholar, Physics
BioLSST-DA Catalyst and KIPAC Rubin Fellow
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Hans Andersen
David Mulvane Ehrsam and Edward Curtis Franklin Professor in Chemistry, Emeritus
BioProfessor Emeritus Hans C. Andersen applies statistical mechanics to develop theoretical understanding of the structure and dynamics of liquids and new computer simulation methods to aid in these studies.
He was born in 1941 in Brooklyn, New York. He studied chemistry as an undergraduate, then physical chemistry as a doctoral candidate at the Massachusetts Institute of Technology (B.S. 1962, Ph.D. 1966). At MIT he first learned about using a combination of mathematical techniques and the ideas of statistical mechanics to investigate problems of chemical and physical interest. This has been the focus of his research ever since. He joined the Stanford Department of Chemistry as Assistant Professor in 1968, and became Professor of Chemistry in 1980. He was named David Mulvane Ehrsam and Edward Curtis Franklin Professor in Chemistry in 1994. Professor Andersen served as department chairman from 2002 through 2005. Among many honors, his work has been recognized in the Theoretical Chemistry Award and Hildebrand Award in Theoretical and Experimental Chemistry of Liquids from the American Chemical Society, as well as the Dean's Award for Distinguished Teaching and Walter J. Gores Award for Excellence in Teaching at Stanford. He has been elected a member of the National Academy of Sciences, and a fellow of both the American Academy of Arts and Sciences and American Association for the Advancement of Science.
Professor Andersen’s research program has used both traditional statistical mechanical theory and molecular dynamics computer simulation. Early in his career, he was one of the developers of what has come to be known as the Weeks-Chandler-Andersen theory of liquids, which is a way of understanding the structure, thermodynamics, and dynamics of simple dense liquids. Later, he developed several new simulation techniques – now in common use – for exploring the behavior of liquids, such as simulation of a system under constant pressure and/or temperature. He used computer simulations of normal and supercooled liquids to study the temperature dependence of molecular motion in liquids, crystallization in supercooled liquids, and the structure of amorphous solids.
Professor Andersen also developed and analyzed a class of simple lattice models, called facilitated kinetic Ising models, which were then widely used by others to provide insight into the dynamics of real liquids. He simulated simple models of rigid rod polymers to understand the dynamics of this type of material. More recently, in collaboration with Professor Greg Voth of the University of Chicago, he has applied statistical mechanical ideas to the development of coarse grained models of liquids and biomolecules. Such models can be used to simulate molecular systems on long time scales. He has also used mode coupling theory to describe and interpret experiments on rotational relaxation in supercooled liquids and nematogens, in collaboration with Professor Michael Fayer of the Stanford Chemistry Department. -
T. Bertie Ansell
Postdoctoral Scholar, Biology
BioBertie is a post-doc within the labs of Dr. Peter Dahlberg (SLAC) and Prof. Kabir Peay (Stanford). They are a current Schmidt Science Fellow researching the mechanisms of plant-microbial symbiosis within soil.
Bertie completed their PhD at the University of Oxford (UK) under the supervision of Prof. Mark Sansom and Prof. Christian Siebold.
