Stanford University
Showing 1,301-1,400 of 2,005 Results
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Vahe Petrosian
Professor of Physics and of Applied Physics
BioHow do things evolve in the universe? How are particles accelerated in the universe?
Professor Petrosian’s research covers many topics in the broad area of theoretical astrophysics and cosmology, with a strong focus on high-energy astrophysical processes.
Cosmological studies deal with global properties of the universe, where the main focus is the understanding of the evolution of the universe at high redshifts, through studies of the evolutions of population of sources such as galaxies and quasars or active galactic nuclei, gamma-ray bursts, using new statistical techniques developed in collaboration with Prof. B. Efron of the Department of Statistics. Another area of research is the use of gravitational lensing in measuring mass in the universe.
High-energy astrophysics research involves interpretation of non-thermal astronomical sources where particles are accelerated to very high energies and emit various kinds of radiation. These processes occur on many scales and in all sorts of objects: in the magnetosphere of planets, in the interplanetary space, during solar and stellar flares, in the accretion disks and jets around stellar-size and super-massive black holes, at centers of galaxies, in gamma-ray bursts, in supernovae, and in the intra-cluster medium of clusters of galaxies. Plasma physics processes common in all these sources for acceleration of particles and their radiative signature is the main focus of the research here. -
Dmitri Petrov
Michelle and Kevin Douglas Professor in the School of Humanities and Sciences
Current Research and Scholarly InterestsEvolution of genomes and population genomics of adaptation and variation
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Oliver Philcox
Assistant Professor of Physics
BioJunior Fellow, Simons Society of Fellows (2022 - 2025)
Ph.D., Princeton University (2022)
M.A. (Cantab.), Cambridge University (2018)
I’m broadly interested in theoretical, statistical, and observational cosmology, particularly as applied to galaxy surveys and the Cosmic Microwave Background. Recently, I have worked on measuring, modeling, and interpreting new and old physics in a range of cosmological datasets, and using them to learn about the early Universe, including inflation. With Mikhail Ivanov and Marko Simonovic, I won the 2024 New Horizons Prize in Physics, for work on the Effective Field Theory of Large Scale Structure.
I am an assistant professor in the Physics department, affiliated with both the Kavli Institute for Particle Astrophysics and Cosmology (KIPAC) and the Leinweber Institute for Theoretical Physics at Stanford (LITP). Please send me an email if you're interested in working with me! -
Eric Pop
Pease-Ye Professor, Professor of Electrical Engineering, Senior Fellow at the Precourt Institute for Energy and Professor, by courtesy, of Materials Science and Engineering and of Applied Physics
Current Research and Scholarly InterestsThe Pop Lab explores problems at the intersection of nanoelectronics and nanoscale energy conversion. These include fundamental limits of current and heat flow, energy-efficient transistors and memory, and energy harvesting via thermoelectrics. The Pop Lab also works with novel nanomaterials like carbon nanotubes, graphene, BN, MoS2, and their device applications, through an approach that is experimental, computational and highly collaborative.
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Jonathan Pritchard
Bing Professor of Population Studies, Professor of Genetics and Biology
On Leave from 01/01/2026 To 06/15/2026Current Research and Scholarly InterestsWe are interested in a broad range of problems at the interface of genomics and evolutionary biology. One current focus of the lab is in understanding how genetic variation impacts gene regulation and complex traits. We also have long-term interests in using genetic data to learn about population structure, history and adaptation, especially in humans.
FOR UP-TO-DATE DETAILS ON MY LAB AND RESEARCH, PLEASE SEE: http://pritchardlab.stanford.edu -
Xiaoliang Qi
Professor of Physics
BioMy current research interest is the interplay of quantum entanglement, quantum gravity and quantum chaos. The characterization of quantum information and quantum entanglement has provided novel understanding to space-time geometry, and relate the dynamics of chaotic many-body systems to the dynamics of space-time, i.e. quantum gravity theory. Based on recent progress in holographic duality (also known as AdS/CFT), my goal is to use tools such as tensor networks and solvable models to provide more microscopic understanding to the emergent space-time geometry from quantum states and quantum dynamics.
I am also interested in topological states and topological phenomena in condensed matter systems.
You can find my recent research topics in some talks online:
http://online.kitp.ucsb.edu/online/chord18/opgrowth/
https://www.youtube.com/watch?v=__9VBaLfC6Y&t=42s
http://online.kitp.ucsb.edu/online/qinfo_c17/qi/ -
Stephen Quake
Lee Otterson Professor in the School of Engineering and Professor of Bioengineering, of Applied Physics and, by courtesy, of Physics
Current Research and Scholarly InterestsSingle molecule biophysics, precision force measurement, micro and nano fabrication with soft materials, integrated microfluidics and large scale biological automation.
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Krishna Raghavan
Ph.D. Student in Chemistry, admitted Autumn 2024
BioKrishna is originally from the Detroit area of Michigan, and completed his undergraduate studies in biological chemistry and chemistry at the University of Chicago. He is currently a second-year PhD student concentrating in biophysical chemistry, in the lab of Prof. Bianxiao Cui.
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Srinivas Raghu
Professor of Physics
BioI am interested in the emergent behavior of quantum condensed matter systems. Some recent research topics include non-Fermi liquids, quantum criticality, statistical mechanics of strongly interacting and disordered quantum systems, physics of the half-filled Landau level, quantum Hall to insulator transitions, superconductor-metal-insulator transitions, and the phenomenology of quantum materials.
Past contributions that I'm particularly proud of include the co-founding of the subject of topological photonics (with Duncan Haldane), scaling theories of non-Fermi liquid metals (with Shamit Kachru and Gonzalo Torroba), Euclidean lattice descriptions of Chern-Simons matter theories and their dualities in 2+1 dimensions (with Jing-Yuan Chen and Jun Ho Son), and 'dual' perspectives of quantum Hall transitions (with Prashant Kumar and Michael Mulligan). -
Aaditya Ramdas
Affiliate, Statistics
BioAaditya Ramdas is an Associate Professor (with tenure) in the Department of Statistics. He was a postdoc at UC Berkeley (2015–2018) mentored by Michael Jordan and Martin Wainwright, and obtained his PhD at Carnegie Mellon University (2010–2015) under Aarti Singh and Larry Wasserman, receiving the Umesh K. Gavaskar Memorial Thesis Award. His undergraduate degree was in Computer Science from IIT Bombay (2005-09, All India Rank 47), from whom he recently received a Young Alumnus Achiever Award (2026).
His work has been recognized by the Presidential Early Career Award (PECASE), the highest distinction bestowed by the US government to young scientists. He has also received a Kavli fellowship from the National Academy of Sciences, a Sloan fellowship in Mathematics, the CAREER award from the National Science Foundation, the Emerging Leader Award from COPSS (Committee of Presidents of Statistical Societies), early career awards from the Bernoulli Society and the Institute of Mathematical Statistics, and faculty research awards from Adobe and Google. He was recently elected Fellow of the IMS, was awarded Statistician of the Year 2025 by the the American Statistical Associaton Pittsburgh Chapter. He was the program chair of AISTATS 2026, and the general chair of AISTATS 2027.
He has published over 150 peer-reviewed papers, about half at top journals like The Annals of Statistics, Biometrika, IEEE Transactions on Information Theory and PNAS, including prestigious discussion papers at the Journal of the Royal Statistical Society and Journal of the American Statistical Association, and about half at the top AI conferences like NeurIPS, ICML, ICLR, UAI and AISTATS, including over a dozen orals/spotlights. He has given several keynote talks invited tutorials.
Aaditya's research in mathematical statistics and learning has an eye towards designing algorithms that both have strong theoretical guarantees and also work well in practice. His main interests include post-selection inference (multiple testing, simultaneous inference), game-theoretic statistics (e-values, confidence sequences) and predictive uncertainty quantification (conformal prediction, calibration). -
Alok Ranjan
Physical Science Research Scientist
BioAccomplished Research Scientist with a rich history (6-8 years) of spearheading cutting-edge research projects. Proficient in synthesizing and analyzing new compounds with therapeutic potential. Experienced in utilizing both structure and property-based strategies to identify promising drug candidates. Led multidisciplinary teams to innovate solutions, enhanced drug discovery efficiency by integrating advanced computational techniques. Committed to continuous learning and staying well-informed of the latest trends in medicinal chemistry and drug design.
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Adithi Rao
Life Science Rsch Prof 2, Biology
Current Role at StanfordResearch Professional at the Laboratory of Organismal Biology, Gilbert Hall
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Jianghong Rao
Professor of Radiology (Molecular Imaging Program at Stanford) and, by courtesy, of Chemistry
Current Research and Scholarly InterestsProbe chemistry and nanotechnology for molecular imaging and diagnostics
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Kristy Red-Horse
Professor of Biology
Current Research and Scholarly InterestsCardiovascular developmental biology
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Leon Reilly
Undergraduate, Mathematics
Undergraduate, PhilosophyBiohttps://leonreilly.io/
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Rafael Rivera Lugo
Postdoctoral Scholar, Biology
BioRafael Rivera-Lugo is a Stanford Science Fellow postdoctoral associate in the Department of Biology and the ChEM-H Institute at Stanford University, where he works in the laboratory of Christine Jacobs-Wagner. His postdoctoral research focuses on how the Lyme disease bacterium Borrelia burgdorferi establishes infection using novel mouse models to dissect the immune and cellular mechanisms that drive tissue pathology during infection. He is also developing metabolically active, non-replicating bacterial platforms for vaccine applications.
Rafael completed his Ph.D. in Molecular and Cell Biology at the University of California, Berkeley, in the laboratory of Daniel A. Portnoy. His doctoral work revealed how the intracellular pathogen Listeria monocytogenes acquires and utilizes flavins (riboflavin derivatives) during infection, reshaping our understanding of bacterial metabolism and immune evasion. This work produced multiple high-impact publications in journals including PNAS, eLife, Nature, and mBio, and was recognized with the Harold M. Weintraub Graduate Student Award and the Nicholas Cozzarelli Prize. He received his B.S. in Biology and Biotechnology, Summa Cum Laude, from the University of Puerto Rico at Ponce.
Beyond research, Rafael is deeply committed to expanding access to scientific careers. He has mentored students from historically underserved communities through programs at Stanford and UC Berkeley, co-founded organizations to support peers navigating academic science, and has been a consistent advocate for creating welcoming and rigorous scientific environments for all students.
