Title: Measuring cancer evolutionary dynamics using maths and genomics
Abstract: Each cell in a growing tumour independently acquires new mutations leading to intra-tumour genetic heterogeneity. Consequently, the pattern of genetic heterogeneity is a read-out of how the tumour has grown. I will discuss how we can fit mathematical models (stochastic branching processes) to cancer genome data to quantitatively infer the dynamics of tumour evolution.