Soo Kim
Assistant Professor at Ewha Womans University
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolSoo 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.
8 years of coding experience
5 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Georgia Institute of TechnologyMaster's degree Electrical and Electronics Engineering, Master's degree Electrical and Electronics Engineering at Columbia Engineering
Github Skills (9)
optimization9
heat7
machine-learning7
arxiv3
recursive3
pixel2
deep-learning1
tensorflow1
super-resolution1
Programming languages (2)
Github contributions (5)
sookim-ai/WACV
Nov 2018 - Aug 2019
Contributions:7 commits, 6 pushes, 1 branch in 9 months
sookim-ai/hurricane_detection_cnn
Jan 2018 - Mar 2018
Contributions:38 commits, 1 PR, 37 pushes in 1 month
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