Plenary-02 : C. A. Akira Okubo Prize
Associate Professor, Department of Applied Mathematics
University of Washington, USA
Cancer is a result of a stochastic evolutionary process characterized by the accumulation of mutations that are responsible for tumor initiation, progression, immune escape, and drug resistance, as well as mutations with no effect on the phenotype. Mathematical modeling can be used to describe the dynamics of tumor cell populations and to obtain insights into the hidden evolutionary processes leading to cancer. I will present recent approaches to quantify evolutionary dynamics of chronic lymphocytic leukemia and colorectal cancer in patients, and their implications for interpretation of cancer sequencing data.