Hello! I am a Ph.D. Student in the Computer Science & Engineering Department at the Korea University and a member of DMIS Lab, advised by Prof. Jaewoo Kang. Prior to my M.S. studies, I received a Bachelor's degree in Biotechnology from Yonsei University. My research area covers the broad field of AI-Drug Discovery, with a focus on Drug-Target Interaction, Molecule Generation, Molecular Property Prediction. Recently, I have also developed a strong interest in leveraging Large Language Models for drug discovery and toxicology research, aiming to enhance interpretability and reasoning in predictive modeling.
[ tɕuʌn bɑk ]
[Under Review] GraphCliff: Short-Long Range Gating for Subtle Differences but Critical Changes
Hajung Kim, Jueon Park, Junseok Choe, Seungheun Baek, Jaewoo Kang
[ISMB 2026, Bioinformatics] ATTNSOM: Learning Cross-Isoform Attention for Cytochrome P450 Site-of-Metabolism
Hajung Kim, Eunha Lee, Sohyun Chung, Jueon Park, Seungheun Baek, Jaewoo Kang
[ACL 2026 Findings] ToxReason: A Benchmark for Mechanistic Chemical Toxicity Reasoning via Adverse Outcome Pathway
Jueon Park, Wonjune Jang, Chanhwi Kim, Yein Park, Jaewoo Kang
[BIBM 2025] CoTox: Chain-of-Thought-Based Molecular Toxicity Reasoning and Prediction
Jueon Park, Yein Park, Minju Song, Soyon Park, Donghyeon Lee, Seungheun Baek, Jaewoo Kang
Seungheun Baek, Soyon Park, Yan Ting Chok, Junhyun Lee, Jueon Park, Mogan Gim, Jaewoo Kang
[ISMB 2024, Bioinformatics] MolPLA: a molecular pretraining framework for learning cores, R-groups and their linker joints
Mogan Gim*, Jueon Park*, Soyon Park, Sanghoon Lee, Seungheun Baek, Junhyun Lee, Jaewoo Kang
[ISMB 2023, Bioinformatics] ArkDTA: attention regularization guided by non-covalent interactions for explainable drug–target binding affinity prediction
Mogan Gim, Junseok Choe, Seungheun Baek, Jueon Park, Chaeeun Lee, Minjae Ju, Sumin Lee, Jaewoo Kang
DMIS (advisor: Prof. Jaewoo Kang)
Researcher, Big data scientist training team (host: Prof. Jaewoo Kang)
Team Leader of PAEGI-Group No.2