Staff Scientist at SLAC National Accelerator Laboratory
Menlo Park, California, United States
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Summary
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Senior
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Top School
Kirsten Winther is a Staff Scientist at SLAC with eight years of research experience applying quantum calculations, data science, and machine learning to accelerate discovery of catalytic materials. Her work bridges first-principles methods (DFT and many-body approaches) and active learning/Gaussian process models, applied to platforms like Catalysis-Hub.org to turn computational data into actionable materials insight. She progressed from PhD work on quantum plasmonics and 2D materials to postdoctoral and staff roles focused on scalable workflows and databases for computational catalysis. Based in Menlo Park, she combines deep theory with practical tooling for high-throughput discovery, and has a track record of translating complex physics into reproducible data science pipelines.
8 years of coding experience
5 years of employment as a software developer
MSc, Physics and Nanotechnology, MSc, Physics and Nanotechnology at Danmarks Tekniske Universitet / Technical University of Denmark
BSc, Nanoscience, BSc, Nanoscience at Aarhus Universitet
Contributions:8 PRs, 66 pushes, 9 branches in 7 years 1 month
reactdatabasereact-front-endreactjsfront-end
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