Submitted by Ingrid Richter
on
The Department of Applied Mathematics weekly seminar is given by scholars and researchers working in applied mathematics, broadly interpreted.
Title: Identifying treatment and vaccine targets using mechanistic mathematical models
Abstract: Immunological heterogeneity heavily influences treatment and vaccine successes and failures. Many factors contribute to disparate outcomes in cancer therapies and immunizations, including age, sex, and the microenvironment. In this talk, I will discuss how we use mechanistic mathematical models and computational immunology to dissect the influence of heterogeneity on immune responses with the goal of identifying new treatment and vaccine strategies tailored to key characteristics driving outcomes.