Soo Kim

Assistant Professor at SRI International

San Francisco Bay Area United States
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Summary

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Senior
🎓
Top School
Soo Kim is an AI/ML scientist and assistant professor with eight years of experience applying machine learning to physical sciences, healthcare, and drug discovery. She blends deep academic training (PhD in Computational Materials Science) with hands-on research at national labs and industry labs—having driven climate and hurricane detection work at LLNL and AI-driven drug discovery at ATOM. Currently she holds research roles at PARC and SRI while launching an academic program in Medical AI and AI for Science at Ewha Womans University, bridging fundamental research and commercialization. Her work spans deep learning, knowledge representation, and policy learning, with practical GPU-accelerated implementations and LSTM/CNN pipelines for large-scale scientific data. Colleagues note she moves comfortably between first-principles simulation and modern ML, an unusual combination that accelerates translational research. Based in the San Francisco Bay Area, she focuses on AI for social good and interdisciplinary applications from climate to materials to therapeutics.
code9 years of coding experience
job5 years of employment as a software developer
bookMaster's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of Technology
bookMaster's degree, Electrical and Electronics Engineering, Master's degree, Electrical and Electronics Engineering at Columbia Engineering
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Github Skills (4)

deep-learning8
python6
tensorflow5
super-resolution4

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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sookim-ai/WACV

Nov 2018 - Aug 2019

Contributions:7 commits, 6 pushes, 1 branch in 9 months
Deep Learning for Climate
Contributions:38 commits, 1 PR, 37 pushes in 1 month
deep-learningclimatetensorflowtrackingdetection
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