Cancer, fundamentally, is a disease of disordered gene expression. Cancer cells rely on deregulated expression of oncogenic and tumor suppressive pathways to initiate and maintain the transformation process. Thus, delineating how cancer cells achieve such pathologic gene expression states is a crucial step towards understanding and ultimately treating cancer as a disease. Towards achieving this goal, my laboratory employs a systems biological and multidisciplinary approach that integrates computational and experimental strategies to identify and characterize key regulatory programs that underlie cancer progression. The systems-level frameworks implemented in our lab ensure a truly unbiased and systematic approach to studying this key biological challenge. Such bottom-up and agnostic approaches are crucial for discovering pathways that fall outside of our prior knowledge of regulatory interactions and would otherwise remain hidden in a top-down reductionist framework.