Research
Research Interests
Generative AI
We are developing state-of-the-art deep learning and machine learning methods to advance the fields of:
Deep generative models
Representation learning
Artificial general intelligence
Data-Centric AI
We are interested in addressing the challenges of data in real-world scenarios, particularly in:
Domain adaptation
Multimodal learning
Biomedical data science
Projects
Development of Generative AI to Overcome Data Limitations in Real-World Biomedical Foundation Models
(실세계 의생명 파운데이션 모델의 데이터 한계 문제 극복을 위한 생성형 인공지능 기반기술 개발)
우수신진연구, National Research Foundation (NRF) of Korea, PI
2025.03 ~ 2030.02
scClovaX: Single-Cell AI using Foundational Model
(scClovaX: 파운데이션 모델을 이용한 단일세포 인공지능)
네이버 디지털 바이오 연구과제, Naver, Co-PI
2024.02 ~ 2027.01
Healthcare Software Development and Platform Construction
(헬스케어 소프트웨어 개발 및 플랫폼 구축)
지자체-대학 협력기반 지역혁신사업 (RIS), Ministry of Education, PI
2024.03 ~ 2024.12 (Completed)