This special colloquium will host a faculty candidate for math biology.
Speaker: Leili Shariyari, Visiting Scholar, Mathematical Biosciences Institute, The Ohio State University, Fellow, The Data Incubator
Title: Discovering effective cancer treatments through Computational models
Abstract: Carcinogenesis is a complex stochastic evolutionary process. One of the key components of this process is evolving tumors, which interact with and manipulate their surrounding microenvironment in a dynamic spatio-temporal manner. Recently, several computational models have been developed to investigate such a complex phenomenon and to find potential therapeutic targets. In this talk, we present novel computational models to gain some insight about the evolutionary dynamics of cancer. Furthermore, we propose an innovative framework to systematically employ a combination of mathematical methods and bioinformatics techniques to arrive at unique personalized targeted therapies for cancer patients.