Hi! Welcome to my website. My name is Jun Hyeong Kim, and I am an M.S. student specializing in Artificial Intelligence at Seoul National University. I am currently conducting research under the guidance of Professor Sun Kim in the Bio & Health Informatics (BHI) lab. Prior to this, I completed my Bachelor’s degree in Bioengineering & Biotechnology at Yonsei University, graduating in August 2022.

My research interests center on applying AI models and creating innovative deep learning tools to tackle complex challenges in the biomedicine domain, aiming to advance precision medicine. Specifically, I focus on utilizing advanced graph neural networks to uncover relationships and structures among biomedical components. More recently, I have been exploring the adaptation of foundation models, such as large language models, to effectively incorporate prior knowledge into biomedical applications.

🔥 News

• 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

• preprint MV-CLAM: Multi-View Molecular Interpretation with Cross-Modal Projection via Language Models
  Sumin Ha*, Jun Hyeong Kim*, Yinhua Piao, Sun Kim
• Bioinformatics 2024 PONYTA: prioritization of phenotype-related genes from mouse KO events using PU learning on a biological network
  Jun Hyeong Kim*, Bonil Koo*, Sun Kim | Project

🗣️ Conference

• NeurIPS WorkShop 2024 MV-CLAM: Multi-View Molecular Interpretation with Cross-Modal Projection via Language Models
  Sumin Ha*, Jun Hyeong Kim*, Yinhua Piao, Sun Kim. Vancouver, Canada 🇨🇦
• BIOINFO2024 PONYTA: prioritization of phenotype-related genes from mouse KO events using PU learning on a biological network
  Jun Hyeong Kim*, Bonil Koo*, Sun Kim. Kyungju, South Korea 🇰🇷

📖 Education

• [2024.09 - present] 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

• 2022.06 - 2022.08, Bio & Health Informatics Lab, Seoul National University.
• 2021.12 - 2022.05, NetBio Lab, Yonsei University.
• 2021.06 - 2021.11, Stem Cell & Biomaterial Engineering Lab, Yonsei University.

📚 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