Jun Hyeong Kim

Jun Hyeong Kim

Seoul National University

My name is Jun Hyeong Kim, and I am currently a research intern 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 previous research has mainly focused on applying graph neural networks (GNNs) and large language models (LLMs) to the biomedical domain—aiming to better capture relationships among biomedical components and to guide LLMs toward generating effective descriptions of drug candidates. Recently, I have become particularly interested in leveraging LLMs in biomedicine through retrieval-based approaches such as RAG. My current work emphasizes integrating biomedical knowledge graphs to supplement LLMs with domain-specific knowledge and to help them understand the complex interconnections among biomedical components, ultimately improving performance on biomedical tasks.

🔥 News

  • 2025.09:  🎉🎉 I have joined KAIST’s MLAI Lab as a research intern, advised by Prof. Sung Ju Hwang.
  • 2025.08:  🎉🎉 My work has been accepted to EMNLP Findings 2025.
  • 2024.10: My work is accepted by NeurIPS 2024 Workshop on AI for New Drug Modalities (AIDrugX).
  • 2024.10: My work is accepted by Bioinformatics Journal 2024.
  • 2024.10: I presented my work in BioInfo 2024 held in Kyungju, South Korea.
  • 2024.08: I participated in the ACL conference held in Bangkok, Thailand.
  • 2024.07: I was granted a scholarship by the department in recognition of my work.

📝 Publications

🗣️ Conference

📖 Education

  • [2025.09 - present] Research Intern at MLAI Lab, KAIST.
  • [2024.09 - 2025.07] Research Assistant at Bio-MAX/N-Bio, Seoul National University.
  • [2022.09 - 2024.08] M.S. Student in Interdisciplinary Program in Artificial Intelligence, Seoul National University.
  • [2016.03 - 2022.08] B.S. Student in Bioengineering & Biotechnology, Yonsei University.

💻 Internships

📚 Teaching Experience

  • Teaching Assistant, Computer Convergence Application, 2024 Fall, Computer Science & Engineering Dept., Seoul National University
    • Python & PyTorch tutorial
    • Tree methods for classification: Decision tree, Random forest, CART, XGBoost, AdaBoost, Gradient Boost
  • Teaching Assistant, Introduction to IT for Bioinformatics, 2024 Spring, Interdisciplinary program in Bioinformatics, Seoul National University
  • Lead Teaching Assistant, AI-BIO Research Personnel Training Program, 2023 Fall, AI Institute of Seoul National University (AIIS), Seoul National University
  • Teaching Assistant, Computer Convergence Application, 2023 Fall, Computer Science & Engineering Dept., Seoul National University
    • Tree methods for classification: Decision tree, Random forest, CART, XGBoost

🎖 Honors and Awards

  • [2024.07] Research achievement scholarship from Interdisciplinary Program in Artificial Intelligence.
  • [2021.08] Academic Excellence Award.
  • [2021.08] Cheongwoo Scholarship.
  • [2021.02] Academic Excellence Award.
  • [2021.02] Jinri Scholarship.
  • [2021.02] Honors Award.
  • [2021.02] Geonseon Scholarship.

✉ Contact

email: tommy0906@snu.ac.kr