Il Yi
AI Researcher at PharmCADD
South Korea
Summary
👤
Senior🎓
Top SchoolIl Yi is an AI researcher with 10 years of experience applying deep learning to drug discovery, currently leading generative molecule and property-prediction research at PharmCADD. With a PhD in statistical physics, he blends strong theoretical grounding with practical work on SMILES- and graph-based de novo generation, Graphormer property predictors, and reinforcement learning for molecule design. His prior roles include developing transformer and graph models for protein design and DTI at ARONTIER and teaching deep-learning molecular generation in the LAIDD program. He has a track record across modalities—from computer vision and music generation to molecular modeling—revealing a talent for transferring methods across domains. Based in South Korea, he often prototypes research ideas in public repositories, exemplified by his LAIDD molecular-generation materials.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Statistical Physics, Doctor of Philosophy (Ph.D.), Statistical Physics at Sungkyunkwan University
Korean, English
Github Skills (4)
trading2
agent2
cryptocurrency2
trading-bot2
Programming languages (2)
Github contributions (5)
ilguyi/rl.sutton.tf
Apr 2018 - Oct 2020
Contributions:14 commits, 11 pushes, 1 branch in 2 years 6 months
ilguyi/dcgan.tensorflow
Feb 2017 - Mar 2018
Contributions:48 commits, 59 pushes, 1 branch in 1 year 1 month
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