Undergraduate student at Yonsei University majoring in Materials Science and Engineering, with strong interest in AI applications in medical imaging and diagnostics.
Participated in various AI competitions, developing deep learning models for tasks such as medical report standardization, cancer diagnosis, and drug discovery.
Currently building expertise in machine learning and healthcare domain knowledge, aiming to contribute to healthcare and treatment through engineering-based data analysis.
Overview
1
1
year of professional experience
9
9
years of post-secondary education
2
2
Languages
Work History
Team Member
Upstage-Yonsei AI Agent Hackathon
2025.03 - 2025.04
Developed a medical report standardization model at the Upstage-Yonsei AI Agent Hackathon (Best Award)
Participant
Engineering Industry Competition
2025.04 - Current
Participating in the 2025 Engineering Industry Competition, developing an AI model for anomaly detection in energy-harvesting infrastructure
Team Leader
Thyroid Cancer Diagnosis Hackathon
2025.05 - Current
Developing AI algorithms for thyroid cancer classification
Team Member
BioResource AI Challenge
2024.09 - 2024.10
Built a cancer type classification model using genomic variant data
Team Member
Medical AI (MAI) Challenge
2024.09 - 2024.10
Participated in gene expression prediction from H&E-stained tissue images
Team Member
AI Drug Discovery Challenge
2024.08 - 2024.09
Developed a predictive model for IRAK4 IC50 activity
Participant
Samsung AI Challenge
2024.08
Developed MLFF model for accurate semiconductor material simulations
Education
B.S. - Materials Science and Engineering
Yonsei University
Seoul
2020.05 - 2026.02
Graduated -
Incheon Science High School
Incheon
2017.03 - 2020.02
Skills
Python
JavaScript
Python libraries including PyTorch, scikit-learn, pandas
Activities
Yonsei University Social Innovation Town - NFC Team, 09/01/24 - 12/31/24, Led a project on eco-friendly thermal insulation wallpaper; responsible for research and promotional planning as team leader