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Engineering Science and Applied Mathematics
Stochastic evolutionary modeling of cancer
development and resistance to treatment
Presented By:
Dr. Ivana Bozic
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
Engineering Sciences and Applied Mathematics
2145 Sheridan Road, M426, Evanston IL 60208 (847) 491-3345