Resume
Academic Achievements
- Selected publications include 'CoTox: Chain-of-Thought-Based Molecular Toxicity Reasoning and Prediction' among others; 1st place in BioASQ 13B Challenge (2025); Junior Fellow-Research Grant ($3,000) (2025 - 2026); Holds at least one patent (as an inventor, registered in South Korea)
Research Experience
- Researcher, Big data scientist training team at Industry-Academia Collaboration Foundation, Korea Univ. (Sep 2022 - Feb 2023), hosted by Prof. Jaewoo Kang; Team Leader of PAEGI-Group No.2 at SKT FLY AI Challenger (Jun 2022 - Sep 2022)
Education
- Ph.D. Student in Computer Science & Engineering at Korea University (2023 - present), advised by Prof. Jaewoo Kang; B.S. in Biotechnology from Yonsei University (2016 - 2022)
Background
- Research interests: AI-Drug Discovery, focusing on Drug-Target Interaction, Molecule Generation, and Molecular Property Prediction. Recently, 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.
Miscellany
- Provides links to Google Scholar, GitHub, and CV download on personal website; Email addresses publicly available