OMAEL | Yonsei University

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2026-03

2026년도 우수연구-신진연구(유형B) 과제 최종 선정!
우리 연구실(OMAEL)이 2026년 3월부터 시작되는 한국연구재단 우수연구-신진연구(유형B, 4년/6억 원) 과제에 최종 선정되었습니다. (Funds & Projects) 이번 선정과 연세대학교 의과대학에서 전폭적으로 지원해주는 신임 교원 연구 정착 과제들을 통해, 새롭게 합류할 팀원들과 함께 "견고한 공학 이론 기반 고난도 임상 의사 결정을 위한 해석 가능한 의료 인공지능 학습 기법 개발" 연구를 본격적으로 수행해나갈 예정입니다. 연구실의 성장을 지원해주신 모든 분께 감사드리며, 혁신적인 연구 성과로 보답하겠습니다.
2026-03
New Office Location!
Our team has officially moved into a new office space within the College of Medicine at Yonsei University. This new location will serve as our primary hub for research and collaboration.
- Location: Department of Biomedical Systems Informatics, College of Medicine, Yonsei University
- Address: 의과대학 신관 6층, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, Korea
- Tel: 82-2-2228-2500
- Email: yujinoh@yuhs.ac
2026-01
Recruitment!

: M.S., Ph.D., and Postdoctoral Fellows

We are seeking highly motivated students and fellows to join our research team. Our lab offers a unique, collaborative environment with opportunities to work closely with world-leading medical institutions:
- Yonsei Severance Hospital, Seoul, Korea
- Massachusetts General Hospital, MA, USA
- Inselspital, Bern, Switzerland
As part of our ongoing global projects, qualified candidates may also be eligible for Visiting Scholar positions at Harvard Medical School in Boston.

For further details, please email me with your CV, research motivation, intended timeline and academic transcripts (Undergraduate and graduate, if applicable):

Team

PI
Yujin Oh, Ph.D.

yujinoh@yuhs.ac

Google Scholar | LinkedIn
- Yonsei University, Seoul, Korea
  
  Department of Biomedical Systems Informatics, College of Medicine
  
  Assistant Professor 2026 – Current
- Harvard Medical School & Massachusetts General Hospital (MGH), MA, USA
  
  Department of Radiology (Supervisor: Prof. Quanzheng Li)
  
  Postdoctoral Fellow 2024 – 2026
- Korea Advanced Institute of Science & Technology (KAIST), Daejeon, Korea
  
  School of AI (Supervisor: Prof. Jong Chul Ye)
  
  Ph.D. of Engineering 2024
- LG Electronics Inc., Seoul, Korea
  
  Chief Technology Officer (CTO) Division
  
  Senior SW Engineer 2017 – 2019
  
  SW Engineer 2014 – 2016
- Korea University, Seoul, Korea
  
  Department of Biomedical Engineering (Supervisor: Prof. Beop-Min Kim)
  
  Master of Engineering 2014
  
  Bachelor of Engineering 2012
Ph.D. Students
To be updated

xxxxxxx@yuhs.ac
- Integrated M.S. / Ph.D. Program
  
  Department of Biomedical Systems Informatics, College of Medicine
  
  Research interest 2024.03 – Current
M.S. Students
To be updated

xxxxxxx@yuhs.ac
- Master Program
  
  Department of Biomedical Systems Informatics, College of Medicine
  
  Research interest 2026.09 – Current
To be updated

xxxxxxx@yuhs.ac
- Master Program
  
  Department of Biomedical Systems Informatics, College of Medicine
  
  Research interest 2026.09 – Current
Undergraduate Students

Funds & Projects

견고한 공학 이론 기반 고난도 임상 의사 결정을 위한 해석가능한 의료 인공지능 학습 기법 개발

한국연구재단, 개인기초연구, 우수연구-신진연구(유형B), 총 6억 원/4년, 연구책임자 2026.03 – Current
Explainable Multimodal AI for Solving Clinical Challenges: Intractable and Rare Cancer, and Multidisciplinary Decision-Making

Yonsei University College of Medicine, total ~160K USD, Principal Investigator 2026.03 – Current
Cancer Treatment Optimization based on Treatment-Response centered Integration of Clinical-Bio Bigdata and Multimodal AI

National Research Foundation (NRF) of Korea, total ~90K USD, Co-Investigator 2026.01 – Current
LLM-driven Multi-Agent Framework for Multidisciplinary Tumor Board Treatment Recommendation

Harvard Medical School & MGH, MA, USA, Co-Investigator 2025 – 2026
Developing a PET/CT Foundation Model for Cross-Modal Anatomical and Functional Imaging

Harvard Medical School & MGH, MA, USA, University of Bern, Switzerland, Co-Investigator 2025 – 2026
Unsupervised Learning-based Advanced Cognitive Framework of AI for Development of Interpretable Medical Diagnostic System

Sejong Science Fellowship (Overseas Track), National Research Foundation (NRF) of Korea, ~50K USD, Principal Investigator 2024 – 2025

Lectures

데이터 사이언스 - 멀티모달 의료 AI
- 2026.05-06 (예정) 연세대학교 의과대학, 예과
Engineering Reliable Multimodal Medical AI: A Theory-Driven Perspective
- 2026.05 (예정) 대한의용생체공학회 춘계학술대회, 의료인공지능 세션
- 2026.05 (예정) 고려대학교 바이오의공학부 의공학 특강
- 2026.05 (예정) The University of Hong Kong (HKU), Medical Imaging AI Summit, Hong Kong
- 2026.05 (예정) 한국생명정보학회, 신진연구자 세션
Toward Trustworthy Multimodal AI in Radiation Oncology: Integrating Accuracy, Consistency, and Fairness
- 2026.06 (예정) 방사선생명과학회 춘계학술대회
- 2026.02 강남 세브란스병원 인공지능 기술 허브 세미나
Multimodal AI in Radiation Oncology: Harnessing Large Language Models for Clinical Workflows
- 2025.06 UT Southwestern Medical Center, AIM Seminar, TX, USA
- 2025.06 Brigham and Women's Hospital, Journal Club, MA, USA
Foundation Model-driven Multimodal 3D Medical Image Segmentation
- 2025.05 대한3D프린팅융합의료학회 제13차 정기학술대회
- 2024.09 Northwestern University, Bio Inspired Vision Lab, IL, USA
- 2024.08 서울아산병원 MI2RL 연구실 세미나
- 2024.07 Brigham and Women's Hospital, Mahmood Lab, MA, USA
생성형 모델을 활용한 의료 AI의 일반화
- 2024.03 연세대학교 의과대학 의생명시스템정보학교실 세미나
- 2024.02 고려대학교병원 영상의학과 세미나
- 2024.01 충남대학교 의공학연구소 정기세미나
- 2024.01 서울대학교병원 융합의학기술원 특강

Optimal Multimodal AI Engineering Lab @ Yonsei University

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