Kirsten Winther

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.
code8 years of coding experience
job5 years of employment as a software developer
bookMSc, Physics and Nanotechnology, MSc, Physics and Nanotechnology at Danmarks Tekniske Universitet / Technical University of Denmark
bookBSc, Nanoscience, BSc, Nanoscience at Aarhus Universitet
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Github Skills (33)

simulation10
flask-graphql10
uploading10
combinatorics10
chemical-engineering10
ase10
catalyst10
materials-informatics10
catalysis10
atomic10
surface10
querying10
computational-chemistry9
sqlalchemy9
api9

Programming languages (2)

JavaScriptPython

Github contributions (5)

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SUNCAT-Center/CatKit

May 2018 - Nov 2022

General purpose tools for high-throughput catalysis
Contributions:80 commits, 16 PRs, 9 pushes in 4 years 6 months
chemical-engineeringcatalysispurposematerials-sciencecombinatorics
Contributions:8 PRs, 66 pushes, 9 branches in 7 years 1 month
reactdatabasereact-front-endreactjsfront-end
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