DrYoungro Lee

My research centres on extracting reliable and clinically meaningful insights from complex biomedical data. My main interests include:

• Longitudinal multi-omics: analysing repeated molecular and clinical measurements to understand disease progression

• Explainable and interpretable machine learning: evaluating the validity and stability of feature importance and developing statistical methods for interpreting model outputs

• Biomarker discovery: developing feature selection and data transformation methods for high-dimensional biological data, including microbiome, DNA methylation and proteomic data.

• Wearable data and digital health: evaluating measurement reliability and examining how wear patterns, missing observations and individual differences affect prediction.

• Clinical decision support: developing and evaluating models using clinical records and patient-reported information, in close collaboration with clinical teams.