Our lab is focused on the development and validation of biomarkers for early detection, accurate diagnosis, prognostication, and prediction of treatment response in precision cancer medicine. To achieve this goal, we curate large-scale imaging and/or genetic data sets with clinical annotations, and develop novel statistical and machine learning methods. Our work focuses on two main areas:

1.    Image-based analysis (radiologic or histopathologic).

2.    Molecular analysis (genomic or transcriptomic profiles).

Our ultimate goal is to translate clinically useful prognostic and predictive biomarkers to guide selection of optimal therapy and improve outcomes for cancer patients.