Stanford University
Showing 1-100 of 1,907 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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Frank Abild-Pedersen
Senior Scientist, SLAC National Accelerator Laboratory
BioDr. Abild-Pedersen is the co-director of SUNCAT Center for Interface Science and Catalysis. He is leading a research team that focuses on developing an understanding of the factors determining the catalytic properties at the interface between gas/solvent and solid surfaces and to apply these insights to processes and catalysts of importance for energy transformations and for sustainable chemical production. His research takes advantage of computer facilities at SLAC and Stanford to gain the necessary understanding and to link these simulations to experiments where new catalyst synthesis methods are developed, and the catalyst materials are characterized both in terms of performance (activity, selectivity, durability, etc.) and in terms of geometrical and electronic structure. The underlying philosophy of his research is that by having a fundamental understanding of the way surfaces catalyze a chemical reaction we can make a quantum leap in our ability to make predictions for new catalysts and processes. This requires the development of a theory of heterogeneous catalysis, including electrocatalysis, based on computational and experimental results.
Dr Abild-Pedersen has extensive experience with simulations and modeling of chemical reactions. His work began with the derivation of energy correlations in catalysis that have helped speed up screening for active, selective and stable catalysts for energy conversion as a graduate student working with Professor Jens K. Nørskov at the Technical University of Denmark. He moved to SLAC in 2010 as a staff scientist and helped build up SUNCAT and define research directions in the field of heterogeneous catalysis. -
Sebastian C. Aderhold
Lead Scientist, SLAC National Accelerator Laboratory
Current Role at StanfordDepartment Head, Superconducting Linac Physics (SLAC)
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Zeeshan Ahmed
Associate Professor of Particle Physics and Astrophysics
BioI am an observational cosmologist, and an experimental physicist. I build ultra-low-noise detectors using superconducting and quantum sensing techniques, and use them in experiments and instrumentation for cosmology. I currently spend most of my time investigating the inflation paradigm of standard cosmology, using the cosmic microwave background (CMB). Recently, I've become interested in using the weak lensing of the CMB in conjunction with galaxy surveys to study the growth of large-scale structure in the universe.
I received my PhD in particle astrophysics from Caltech in 2012, working on direct detection of WIMP dark matter with the CDMS-II experiment. I then shifted my effort to searching for inflation with the CMB. I was a postdoctoral scholar at Stanford through 2015 before being appointed as a Wolfgang Panofsky Fellow at SLAC National Accelerator Laboratory. In 2017, I won a DOE Office of Science Early Career Award to work on new signal transduction and superconducting multiplexing techniques for next-generation CMB cameras. In 2020, I was appointed as a Lead Scientist at SLAC, and in 2023, I was appointed Associate Professor of Particle Physics and Astrophysics at Stanford and SLAC. I serve as CMB department head in the Fundamental Physics Directorate at SLAC. I also serve as scientific project manager for the bring up of SLAC's Detector Microfabrication Facility for the development of superconducting and quantum sensors and devices. -
Changzhi Ai
Postdoctoral Scholar, Photon Science, SLAC
BioChangzhi Ai is a Postdoctoral Researcher at the SUNCAT Center for Interface Science and Catalysis at Stanford University and SLAC National Accelerator Laboratory. He specializes in developing machine learning models for surface and interfacial chemistry, with broader expertise in atomistic modeling for materials science and chemistry. His research also explores agentic AI for scientific discovery, automation of active learning workflows, global optimization algorithms, and high-throughput materials screening. He obtained his PhD from the Technical University of Denmark.
His current research focuses on the development of scalable, physically informed machine learning potentials, particularly equivariant neural network architectures, for accurately modeling complex chemical environments. His work spans heterogeneous catalysis, multi-metallic alloy design, reaction kinetics, and surface and interfacial chemistry, with an emphasis on uncovering structure–property relationships at the atomic scale.
In addition, he has extensive experience integrating machine learning models into simulation pipelines and deploying them in large-scale computational environments. His technical expertise includes deep learning frameworks such as PyTorch, distributed training (DDP and multi-node GPU systems), and scientific computing tools including LAMMPS, ASE, and TorchScript/LibTorch for production-level deployment. He also develops end-to-end automated workflows for data generation, model training, and adaptive sampling in materials discovery.
Keywords:
Machine Learning Potentials (Equivariant GNNs), Atomistic Simulations, Molecular Dynamics, Active Learning & Workflow Automation, High-Throughput Screening, Global Optimization Algorithms, Scientific Machine Learning, Distributed GPU Computing, PyTorch & TorchScript, LAMMPS Integration, ASE, HPC Systems, Data-Driven Materials Discovery
Code & Projects:
GitHub: https://github.com/changzhiai -
Alex Aiken
Alcatel-Lucent Professor of Communications and Networking, Professor of Particle Physics and Astrophysics, and of Photon Science
BioAlex Aiken is the Alcatel-Lucent Professor of Computer Science at Stanford. Alex received his Bachelors degree in Computer Science and Music from Bowling Green State University in 1983 and his Ph.D. from Cornell University in 1988. Alex was a Research Staff Member at the IBM Almaden Research Center (1988-1993) and a Professor in the EECS department at UC Berkeley (1993-2003) before joining the Stanford faculty in 2003. His research interest is in areas related to programming languages.
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Daniel Akerib
Professor of Particle Physics and Astrophysics
On Leave from 04/01/2026 To 03/31/2027BioResearch interests:
Dan Akerib joined the department in 2014 with a courtesy appointment, in conjunction with a full-time appointment to the Particle Physics & Astrophysics faculty at SLAC. He has searched for WIMP dark matter particles since the early 1990s, first with the Cryogenic Dark Matter Search and more recently with the LUX and LUX-ZEPLIN projects. His current interests are in extending the sensitivity to dark matter through expanding and improving time projection chambers that use liquid xenon as a target medium. Together with Tom Shutt, he has led the establishment of a Liquid Nobles Test Platform at SLAC. The group specializes in detector development, xenon purification, and simulations, and has a broad range of opportunities for graduate and undergraduate students to participate in hardware and software development, as well as data analysis.
Career History:
- AB 1984, University of Chicago
- Ph.D. 1990 Princeton University
- Research Fellow, California Institute of Technology, 1990 - 1992
- Center Fellow, Center for Particle Astrophysics, UC Berkeley 1993 - 1996
- Assistant Professor, Case Western Reserve University, 1995-2001
- Associate Professor, Case Western Reserve University, 2001-2004
- Professor, Case Western Reserve University, 2004-2014
- Chair, Case Western Reserve University, 2007-2010
- Professor, Particle Physics & Astrophysics, SLAC 2014 - present -
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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Roberto Alonso-Mori
Lead Scientist, SLAC National Accelerator Laboratory
Current Role at StanfordLead Scientist, Biological Sciences Department Head, and Group Lead of the Biochemistry and Condensed Phase Chemistry Group at LCLS (SLAC National Accelerator Laboratory)
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Angela Dawn Anderson
Unit/Program Comms Mgr, SLAC National Accelerator Laboratory
Current Role at StanfordHead of Press & Publications, SLAC National Accelerator Laboratory
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Andrew Lee Aquila
Staff Scientist, SLAC National Accelerator Laboratory
Current Role at StanfordTender X-ray Instrument (TXI) lead - Andrew Aquila leads one of the scientific instruments at LCLS. TXI focuses on the tender X-ray spectrum (2 keV to 7 keV), with dedicated instrumentation for laser pumped tender spectroscopy, forward scattering and X-ray pump/X-ray probe methods.
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Mei Bai
Distinguished Scientist, SLAC National Accelerator Laboratory
Current Role at StanfordDeputy Director for Science, Accelerator Directorate
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Matthew Bain
Staff Scientist, SLAC National Accelerator Laboratory
Current Role at StanfordLead for the Ultrafast Visible and UV Pulses group in the Laser Science Department of the Science Research & Development Division of LCLS
Laser Science Point of Contact and SLSO for the chemRIXS Instrument at LCLS -
Mario D. Balcazar
Physicist-Experimental, SLAC National Accelerator Laboratory
Project Scientist, SLAC National Accelerator LaboratoryCurrent Role at StanfordResearch Scientist at the Linac Coherent Light Source (LCLS) in SLAC National Accelerator Laboratory. Working on the Cavity-Based X-ray Free Electron Laser (CBXFEL) project.
