SLAC National Accelerator Laboratory
Showing 1-100 of 151 Results
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Grzegorz M. Madejski
Senior Scientist, SLAC National Accelerator Laboratory
BioMy English-speaking friends know me as Greg. I was born in Poland, but my college and graduate education was in the US, respectively at MIT and Harvard. After spending 14 years at NASA/Goddard, I arrived in Stanford in 2000. My research interests are mainly in extragalactic high-energy astrophysics. This includes (1) studies of active galactic nuclei, and an associated formation and evolution of relativistic jets; and (2) studies of clusters of galaxies, and in particular the processes responsible for the heating of the X-ray emitting intra-cluster gas. Besides taking advantage of data from the Fermi Gamma-ray Observatory, I am involved in analyzing and interpreting observations performed with X-ray satellites such as NuSTAR, a recently-launched NASA satellite, sensitive in the hard X-ray band, and Hitomi, a joint Japanese - US X-ray astronomy mission.
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Wendy Mao
Professor of Earth and Planetary Sciences, of Photon Science and, by courtesy, of Geophysics
Current Research and Scholarly InterestsUnderstanding the formation and evolution of planetary interiors; experimental mineral physics; materials in extreme environments.
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Agostino Marinelli
Assistant Professor of Photon Science and of Particle Physics and Astrophysics
Current Research and Scholarly InterestsX-ray free-electron lasers and applications.
Advanced particle accelerators. -
Todd Martinez
David Mulvane Ehrsam and Edward Curtis Franklin Professor of Chemistry and Professor of Photon Science
Current Research and Scholarly InterestsAb initio molecular dynamics, photochemistry, molecular design, mechanochemistry, graphical processing unit acceleration of electronic structure and molecular dynamics, automated reaction discovery, ultrafast (femtosecond and attosecond) chemical phenomena
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Anjani Maurya
Postdoctoral Scholar, Photon Science, SLAC
BioAnjani K. Maurya studied bachelor of technology (B.Tech) in engineering physics at the Indian Institute of Technology Guwahati, India, and masters in materials science exploring large-scale facilities at the University of Rennes 1, France, and the Technical University of Munich, Germany, in the framework of Erasmus Mundus program. He worked at the center for X-ray analytics and the laboratory for biomimetic membranes and textiles at Swiss Federal Laboratories for Materials Science and Technology (Empa) and obtained his Ph.D. in Biomedical Engineering from the University of Bern, Switzerland.
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Paul McIntyre
Rick and Melinda Reed Professor, Professor of Photon Science and Senior Fellow at the Precourt Institute for Energy
BioMcIntyre's group performs research on nanostructured inorganic materials for applications in electronics, energy technologies and sensors. He is best known for his work on metal oxide/semiconductor interfaces, ultrathin dielectrics, defects in complex metal oxide thin films, and nanostructured Si-Ge single crystals. His research team synthesizes materials, characterizes their structures and compositions with a variety of advanced microscopies and spectroscopies, studies the passivation of their interfaces, and measures functional properties of devices.
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Apurva Mehta
Senior Scientist, SLAC National Accelerator Laboratory
BioI am a materials scientist by training with 30 years of experience investigating molecular-scale processes that control function, aging, and failure of complex materials and devices. Advance characterization methods that give insight into molecular processes have undergone a dramatic change over those 30 years with the advent of brighter sources (from X-rays synchrotrons and free-electron lasers to MeV accelerator-based electron sources), and faster and larger area detectors. The depth and the precision of insights have improved significantly but the amount of raw data has increased by orders of magnitude as well, making extraction of deep insights harder. Over the last decade, I have, therefore, focused on leveraging emerging machine learning and artificial intelligence techniques to not only accelerate knowledge extraction from complex, multi-dimensional, and noisy data but also make data collection smarter.
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Bennet Meyers
Ph.D. Student in Electrical Engineering, admitted Autumn 2018
Project Scientist, SLAC National Accelerator LaboratoryBioI’m a Project Scientist with SLAC National Accelerator Laboratory and a PhD candidate in Electrical Engineering at Stanford University, advised by Stephen Boyd. We recently wrote a paper on signal decomposition.
Since 2018, I have been running the PVInsight project for SETO, developing tools to solve digital operations and maintence problems in the solar PV industy. Some of these tools can be found here.
I am interested in machine learning, signal processing, and data mining and their applications in the energy sector. I am particularly interested in topics of large scale renewable integration and distributed energy generation.
