Talk Title: Measuring and predicting cancer evolution with genomic data   Abstract: We combine theoretical population genetics models of evolving populations with machine learning methods to analyze cancer genomic data, with specific focus on whole-genome sequencing. This allows deconvoluting the signal in the data to measure clonal structures, selective advantage coefficients of subclones, and mutation...Read More

Talk Title: Somatic mutation and clonal expansion in normal tissues   Abstract: Cancers develop by somatic mutation and clonal selection within our tissues. Over the past decade, the ability to sequence cancer genomes has transformed our understanding of the genetics and evolution of a wide range of cancers. However, owing to technical limitations, little is...Read More

Talk Title: Molecular subtypes of Pancreatic Cancer and Ph+ lymphoblastic leukemia  Read More