Mathematical models to untangle infectious disease eco-evolutionary dynamics

Infectious diseases are complex systems across many scales. In this talk, I will use mathematical models to investigate a range of questions in infectious disease eco-evolutionary dynamics. I will begin by modelling the transition from pathogen emergence to endemicity, landscapes of immunity, and the effects of vaccination. I will then use mathematical models to examine pathogen life-history evolution, and to study behavioral-epidemiological dynamics. Overall, I will provide a broad overview to highlight the use of mathematical models in infectious disease ecology and evolution. 

Chadi Saad-Roy is an incoming Assistant Professor in the Department of Mathematics and Department of Microbiology and Immunology at UBC. He is currently a Miller Research Fellow at the University of California, Berkeley. He completed a B.Sc. with a Combined Honours in Mathematics and Statistics, and a Minor in BIology, at the University of Victoria. He then obtained a Ph.D. in Quantitative and Computational Biology from Princeton University. Broadly, he is interested in using and developing mathematical theory and computational approaches to study infectious disease ecology and evolution.