Cancer Systems Laboratory (CSL) views cancer as a complex system whose components can be reverse-engineered for the purposes of understanding the underlying mechanisms of cancer progression and identifying approaches for more effective cancer control strategies. Currently, our laboratory infers complex features of cancer progression through a variety of approaches that include: (1) reconstructing molecular networks of cancer, (2) integrating a diversity of molecular, pathological, imaging and clinical cancer data, and (3) mathematically modeling the progression of primary disease to metastatic stages in patients. Ultimately, our goal is to develop a comprehensive, multiscale view of cancer progression that merges these various approaches.

CSL brings together computational and biomathematical modelers, engineers, biological experimentalists and clinical researchers to ensure the biological and clinical relevance and translation. Meet the Team »