My research is focused on the design and application of computational methods to analyze large-scale biological data. My group uses diverse computatational approaches including combinatorial optimization, graph algorithms, machine learning, and statistical methods. Recent areas of emphasis include cancer evolution, network/pathway analysis of genetic variants, and structural variation in human and cancer genomes. Our algorithms have been used in multiple projects from The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC). I co-led the TCGA Pancreatic Adenocarcinoma project and the network analysis in the ICGC Pan-Cancer Analysis of Whole Genomes (PCAWG).