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Engineering Science and Applied Mathematics Stochastic evolutionary modeling of cancer development and resistance to treatment Presented By: Dr. Ivana Bozic Of Harvard University Cancer is the result of a stochastic evolutionary process characterized by the accumulation of mutations that are responsible for tumor growth, immune escape, and drug resistance, as well as mutations with no effect on the phenotype. Stochastic modeling can be used to describe the dynamics of tumor cell populations and obtain insights into the hidden evolutionary processes leading to cancer. I will present recent approaches that use branching process models of cancer evolution to quantify intra-tumor heterogeneity and the development of drug resistance, and their implications for interpretation of cancer sequencing data and the design of optimal treatment strategies. Wednesday, December 9th, 4:00 PM Technological Institute M416 For Further information see http://esam.northwestern.edu Engineering Sciences and Applied Mathematics 2145 Sheridan Road, M426, Evanston IL 60208 (847) 491-3345