Jeonghyeon Kim
Graduate Student
Durham, North Carolina, United States
Summary
🤩
Rockstar🎓
Top SchoolJeonghyeon Kim is a computational biology researcher and graduate student at Duke University with nine years of experience bridging AI, structural biology, and drug design. He develops and adapts state-of-the-art models—modifying AlphaFold2, integrating diffusion models, and combining Graph Neural Networks with reinforcement learning—to generate synthesizable lead compounds and better model protein complexes like pMHC-TCR tricomplexes. His work spans large-scale virtual screening (over one billion molecules) and active learning strategies that cut docking compute by orders of magnitude, alongside multi-task models for kinase off-target prediction. Based in Durham, NC, he brings a rare mix of electrical/software engineering training and chemistry/biological engineering expertise that enables both algorithmic innovation and practical screening pipelines. He contributed methods used in CASP16 and focuses on applying AI across small molecules, antibodies, and immunotherapies to make drug discovery more predictive and efficient.
9 years of coding experience
Master's degree, Chemistry, Master's degree, Chemistry at 서울대학교 (Seoul National University)Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering, Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering at Duke University
English, Chinese
Github Skills (39)
json10
fastapi10
python10
json-schema10
async10
swagger10
asyncio10
redoc10
swagger-ui10
api10
rest10
asgi10
starlette10
pydantic10
high-performance10
Programming languages (8)
Github contributions (5)
JeongHyeongKim/rails_CRUD_using_HTML_TAG
May 2018 - Sep 2019
Contributions:6 PRs, 7 pushes, 1 branch in 1 year 4 months
railsupdateruby
JeongHyeongKim/NyamNyam_for_Seowon
Nov 2018 - Jun 2020
서원대냠냠
Contributions:3 PRs, 7 pushes, 1 branch in 1 year 6 months
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