SLAC National Accelerator Laboratory
Showing 501-550 of 1,662 Results
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Eric C. Galtier
Lead Scientist, LCLS - Linac Coherent Light Source
Current Role at StanfordMatter in Extreme Conditions, Instrument Lead, Linac Coherent Light Source.
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Diana Gamzina
Casual - Nonexempt, Stanford Synchrotron Radiation Lightsource
Current Role at StanfordStaff Scientist
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Carolyn Gee
Associate Engineer, LCLS - Linac Coherent Light Source
Current Role at StanfordX-ray Correlation Spectroscopy (XCS) hutch Controls and Data Systems Owner, LCLS at SLAC National Accelerator Laboratory.
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Gee, Leland B.
Staff Scientist, LCLS - Linac Coherent Light Source
Current Role at StanfordThe lead instrument scientist for the MFX instrument at the LCLS (at the SLAC National Accelerator Laboratory). Coordinator of the Bioinorganic Research Group with membership that spans multiple directorates at SLAC. Leader of an HPC project at NERSC to increase accessibility to the analysis of spectroscopic data, XSIM: "Computational simulations of advanced X-ray spectroscopy on biological metallocofactors".
Member of the NIH P41 Center for Structural Dynamics in Biology. -
Michael R Gettes
IAM Solutions Engr, Information Technology
Current Role at StanfordIdentity Architect at SLAC National Accelerator Laboratory
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Shambhu Ghimire
Lead Scientist, Energy Sciences
Current Role at StanfordPrincipal Investigator in a DOE-funded research area: High-order Harmonic Generation (HHG)
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Molly E. Glover
Events Planner 3, Strategic Communications & External Affairs
Current Role at StanfordLead, Event Planning and Management
STEM Outreach & Events team
Strategic Communications & External Affairs Department
SLAC National Accelerator Laboratory -
Manuel G. Gnida
External Communic., Dept. Head, Strategic Communications & External Affairs
Current Role at StanfordHead of External Communications, SLAC
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Julia L Gonski
Panofsky Fellowship 2023, Fundamental Physics Directorate
Current Role at StanfordI'm a Panofsky Fellow at SLAC and a high energy experimental physicist working on the ATLAS Experiment at CERN's Large Hadron Collider. My background spans Rutgers (B.S.), Harvard (Ph.D.), and Columbia (postdoc), and my work lives at the intersection of particle physics, machine learning, and advanced microelectronics. My group builds AI-enabled big data pipelines to search for exotic new physics, with a particular focus on anomaly detection and unsupervised ML. We also specialize in fast, power-efficient algorithms using novel hardware platforms for next-generation scientific infrastructure, from future colliders to quantum systems.