My lab measures the patterns of clonal evolution that define carcinogenesis and develops novel mathematical tools for analysis and prediction. By characterising tumour evolution, we aim to find better ways to determine prognosis and more effective ways to treat cancers.
My research focuses on molecular pathology of pancreatic cancer, in particular its development and progression. We are using this knowledge to develop biomarkers for early, non-invasive detection of this malignancy in urine specimens.
My group combines mathematics, computer simulations and genomic information to study evolutionary processes. We aim to understand how a tumour’s evolutionary history is reflected in its genome, how evolution can be quantified in individual tumours and how this information predicts future evolution.