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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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