MWF 12:30pm - 1:20pm
Introduces stochastic and deterministic methods for mathematical modeling of cancer evolution. Particular emphasis on branching process models of cancer initiation, progression and response to therapy, and their relationship to clinical, epidemiological and sequencing data. The course introduces both analytic and computational approaches for modeling cancer, and gets students acquainted with the current research in the field. Prerequisite: Previous experience with calculus, probability, ODEs and programming or permission of instructor. Offered: Sp.
February 5, 2020 - 9:00pm