Doyeong Hwang
AI Research Scientist at LG AI Research
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolDoyeong Hwang is an AI research scientist based in Seoul with eight years of experience applying graph neural networks, Bayesian deep learning, and reinforcement learning to drug discovery and protein property prediction. He has first-author contributions at NeurIPS, ICML, JCIM and Bioinformatics, including an allele-conditional attention model for HLA–peptide binding and explorative RL for hit-and-lead discovery. At LG AI Research he continues to bridge cutting-edge academic research with applied ML, after prior research-engineer and data-science roles at AITRICS and OnePredict. Comfortable across Python, PyTorch/TensorFlow and cloud-native deployment (GKE, Cloud Run), he also brings backend and MLOps experience with NodeJS, MongoDB, GraphQL and Jenkins. With dual quantitative training in statistics and computer science from Korea University and international study in Amsterdam, he blends strong probabilistic foundations with practical system-building. Colleagues describe him as a research-first engineer who proactively translates novel Bayesian and graph approaches into reproducible pipelines for real-world biomedical problems.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Business, Bachelor's degree, Business at Vrije Universiteit Amsterdam (VU Amsterdam)Master's degree, Computer science and radio communication, Master's degree, Computer science and radio communication at 고려대학교Gimhae Foreign Language High School
Github Skills (5)
generative9
replay7
fragment7
pytorch6
reinforcement-learning6
Programming languages (3)
Github contributions (5)
doxxitxxyoung/GLIT_pf
Sep 2019 - Feb 2020
Contributions:83 commits, 79 pushes, 1 branch in 5 months
AITRICS/FREED
May 2021 - Oct 2021
Fragment-based generative RL with Explorative Experience replay for Drug design (FREED)
Contributions:17 commits in 4 months
pytorchreplaydrug-designfragmentreinforcement-learning
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