My laboratory seeks to understand how patterns of somatic mutations arise within the DNA of cells. The ongoing accumulation of mutations – known as genome instability (GI) – represent a history of aberrant DNA damage and repair processes within malignancies. We combine large-scale sequencing datasets, artificial intelligence, and data-intensive computing to define and biologically characterize multi-modal GI patterns. This enables us to decipher how mutational processes fuel cancer evolution and can be exploited therapeutically.