Seongok Ryu
Research Scientist at Galux
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolSeongok Ryu is a research scientist with nine years of experience applying AI and computational chemistry to accelerate drug discovery, currently leading protein structure prediction and design efforts at Galux in Seoul. He combines a PhD in Chemistry from KAIST with hands-on development of ML-driven platforms for virtual screening, affinity prediction, ADME/T modeling, and conformation augmentation to improve model generalization and training efficiency. Previously he led AI-driven drug discovery at AITRICS, contributing to graph neural network research and reinforcement-learning–based molecule generation with publications in NeurIPS and JCIM. His work spans end-to-end discovery—from large-scale virtual screening and fragment-based design to retrosynthesis-aware modeling—and has produced compounds that outperformed clinical and best-in-class candidates in assay results. Notably, he co-authored multiple recent papers on deep-learning docking, active learning for docking, and chemical space search, reflecting a rare blend of academic rigor and product-focused impact.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Chemistry, Doctor of Philosophy - PhD, Chemistry at 한국과학기술원(KAIST)
Github Skills (11)
graph-representation-learning8
graph-embedding7
pytorch-geometric7
dgl6
gnn6
machine-learning4
graph4
graph-convolutional-networks4
graph-neural-network4
deep-learning3
geometric-deep-learning3
Programming languages (2)
Github contributions (5)
SeongokRyu/CH485---Artificial-Intelligence-and-Chemistry
Sep 2018 - Feb 2019
Contributions:51 commits, 40 pushes, 1 branch in 6 months
SeongokRyu/Graph-neural-networks
Sep 2018 - Feb 2019
Contributions:24 commits, 20 pushes, 1 branch in 5 months
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