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Welcome
to Lee Lab

for Statistical Genetics and Data Science

Our group develops statistical and computational methods for genetics/genomics data analysis and precision health, while leveraging multimodal data (images, videos, EHR data) for biomedical deep learning research and advancing drug discovery.

News

May 2025

International Conference on Machine Learning (ICML)

Symmetry-Aware GFlowNets

Apr 2025

Alzheimer’s & Dementia

Addressing overfitting bias due to sample overlap in polygenic risk scoring

Mar 2025

Bioinformatics

XPRS: A tool for interpretable and explainable polygenic risk score. Bioinformatics. btaf143

Feb 2025

BMC Medical Informatics and Decision Making

De-identification of clinical notes with pseudo-labeling using regular expression rules and pre-trained BERT

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서울특별시 관악구 관악로 1, 43동 4층 (서울대학교 데이터사이언스대학원) 
43-506, 1 Gwanak-ro, Gwanak-gu, Seoul, Republic of Korea

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