Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
20092025

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Lee lab focuses on computational epigenetics in cancer and aging. I am interested in identifying somatic epi-mutations in early-stage cancer and molecular-level subtypes using comprehensive multi-omics data analysis. The objective is to use this research to optimize clinically actional biomarkers and develop machine learning models to predict cancer typing, subtyping, matching therapeutics, and predicting relapse or metastasis. We pursue cutting-edge technologies, including single-cell multi-omics data, single-cell spatial transcriptomics, and proteomics, to identify predictive epigenetic signatures and understand the cancer microenvironment. We aim to design machine learning models to predict epigenetic and image biomarkers for early diagnostics and prognostics and recommend therapeutic options in cancer and neurodegenerative diseases.

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