Rebecca conducts translational cancer research integrating multi-modal data, including radiology, pathology, molecular data, and plasma data, to understand patterns associated with treatment response and patient outcomes. She applies deep learning and advanced statistical modelling to identify predictive biomarkers, stratify patients, and better understand tumour biology in the context of targeted therapies and disease progression.
