My name is Jun Hyeong Kim, and I am currently a Ph.D. student in the MLAI Lab at KAIST, advised by Professor Sung Ju Hwang. I earned my M.S. degree in Artificial Intelligence at Seoul National University, where I conducted research under the guidance of Professor Sun Kim in the Bio & Health Informatics (BHI) Lab. Before that, I completed my Bachelor’s degree in Bioengineering & Biotechnology at Yonsei University, graduating in August 2022.
My primary research focuses on integrating biomedical knowledge into large language models to support reasoning about complex biological relationships, through approaches such as knowledge graph integration and retrieval-augmented generation. More recently, I have become interested in using AI to model and predict complex biological processes, particularly cellular responses and interactions.
News
Our paper is accepted to EMNLP 2026 Main Conference.
Started my Ph.D. at KAIST MLAI Lab, advised by Prof. Sung Ju Hwang.
Joined KAIST MLAI Lab as a research intern.
Our paper is accepted to EMNLP 2025 Findings.
Our paper is accepted to the NeurIPS 2024 Workshop on AI for New Drug Modalities (AIDrugX).
Our paper is accepted to Bioinformatics.
Presented at BIOINFO 2024, Gyeongju, South Korea.
Received a research achievement scholarship from the department.
Publications
Education
Ph.D., Kim Jaechul Graduate School of AI, KAIST
Advisor: Sung Ju Hwang
M.S., Interdisciplinary Program in Artificial Intelligence, Seoul National University
Advisor: Sun Kim
B.S., Bioengineering & Biotechnology, Yonsei University
Research Experience
Research Intern, MLAI Lab, KAIST
Research Assistant, Bio-MAX / N-Bio, Seoul National University
Research Intern, Bio & Health Informatics Lab, Seoul National University
Research Intern, NetBio Lab, Yonsei University
Research Intern, Stem Cell & Biomaterial Engineering Lab, Yonsei University
Teaching
Teaching Assistant, Computer Convergence Application — CSE, Seoul National University
- Python & PyTorch tutorial
- Tree methods: decision tree, random forest, CART, XGBoost, AdaBoost, gradient boosting
Teaching Assistant, Introduction to IT for Bioinformatics — Interdisciplinary Program in Bioinformatics, Seoul National University
Lead Teaching Assistant, AI-BIO Research Personnel Training Program — AI Institute of Seoul National University (AIIS)
Teaching Assistant, Computer Convergence Application — CSE, Seoul National University
- Tree methods: decision tree, random forest, CART, XGBoost
Honors & Awards
Research Achievement Scholarship, Interdisciplinary Program in AI, Seoul National University
Academic Excellence Award · Cheongwoo Scholarship
Academic Excellence Award · Honors Award · Jinri Scholarship · Geonseon Scholarship