About Us

The mission of the Center for Cancer Evolution (CCE) is to develop, apply, and share cutting-edge computational modeling strategies to understand tumor evolution and optimize cancer treatment. We integrate mathematical, statistical, and machine learning approaches—including stochastic processes, agent-based models, optimal control, and reinforcement learning—to investigate how cancer cells and their microenvironment respond to therapy. These models are parameterized and validated using data from in vitro systems and patient-derived xenograft (PDX) models, as well as patient cohorts and clinical datasets. By simulating evolutionary dynamics and treatment responses, we aim to predict mechanisms of resistance and identify personalized therapeutic strategies. Our work guides the design of prospective clinical trials and is conducted in close collaboration with the Dana-Farber community to ensure broad translational impact.