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 interests include clonal evolution in colorectal adenomas and inflammation-associated cancer, the nature of Barrett’s glands, and the design of methods to explore neutral drift in stem cell divisions in normal human tissues.
I apply mathematical and computational approaches to understanding cancer evolution. A lot of my work is inspired by population genetics and evolutionary biology and I have been developing ways to adapt methods and theories from these fields to the study of cancer as an evolutionary system.