Our lab is focused on the development and clinical validation of biomarkers for early detection, diagnosis, prognostication, and prediction of treatment response in precision cancer medicine. To achieve this goal, we employ two approaches: (1), integrate large-scale imaging and genetic data sets with clinical annotations, and (2) develop novel statistical and machine learning methods. Our work focuses on two main areas:
1. Imaging analysis (radiologic or histopathologic data).
2. Molecular analysis (genomic, epigenomic, or transcriptomic data).
We are a multidisciplinary team with a diverse background and yet converging theme. Our ultimate goal is to clinically translate novel biomarkers to guide selection of optimal therapy and improve outcomes for cancer patients.