Hello! I am a Ph.D. Candidate 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 ]
Selected Publications
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[Under Review] MolDeTox: Evaluating Language Model's Stepwise Fragment Editing for Molecular Detoxification
Jueon Park*, Wonjune Jang*, Jiwoo Lee, Yein Park, Jaewoo Kang
( * equal contribution )
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[KDD 2026] GraphCliff: Short-Long Range Gating for Subtle Differences but Critical Changes
Hajung Kim, Jueon Park, Junseok Choe, Seungheun Baek, Jaewoo Kang
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[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
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[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
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[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
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[CLEF 2025] Prompting Matters: Snippet-Aware Strategies for Biomedical QA with LLMs in BioASQ 13b
Hajung Kim*, Hoonick Lee*, Yewon Cho*, Jungwoo Park*, Jueon Park*, Soyon Park*, Yan Ting Chok*, Seungheun Baek*, Donghyeon Lee*, Jaewoo Kang
( * equal contribution )
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Seungheun Baek*, Soyon Park*, Yan Ting Chok, Junhyun Lee, Jueon Park, Mogan Gim, Jaewoo Kang
( * equal contribution )
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[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
( * equal contribution )
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[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
Education
DMIS (advisor: Prof. Jaewoo Kang)
Experience
AI Toxicologist
SMARTUS AI System Maintenance – Prediction of Material Properties
Researcher, Big data scientist training team (host: Prof. Jaewoo Kang)
Team Leader of PAEGI-Group No.2
Honors and Scholarships
[Tool Use] [Prediction Consistency] [Human-Aligned Evaluation]
[Certificate]