Jeffrey is an Assistant Professor in the Integrated Mathematical Oncology department. The goal of his research group is to aid in targeting treatment resistance by constructing mathematical models of 1) tumor evolution and heterogeneity and 2) evolutionary-minded treatment strategies, employing techniques such as agent-based modeling, dose response convexity analysis (second-order effects), and evolutionary game theory. These methods are broadly applicable to many cancer types, but recent publications have focused on applications to breast and prostate cancer.