Our research group focuses on methods spanning the laboratory to the laptop that are designed to use genomic and computational approaches to reveal the underlying biology. In particular, we have been looking at patterns of gene expression in cancer with the goal of elucidating the networks and pathways that are fundamental in the development and progression of the disease.

Genomics has transformed biological science not by producing genome sequences and gene catalogs for a range of species, but rather through the development of technologies that allow us to survey, on a global scale, organisms and their gene, protein, and metabolic patterns of expression. The challenge is no longer how to generate these vast bodies of genomic data, but rather in how to best collect, manage, and analyze the data. As a community, we have a long history of studying biological systems and our best strategy moving forward is to leverage that knowledge so as to best interpret genome scale datasets.