My research integrates data and mathematical theory to examine how eco-evolutionary feedbacks shape host-pathogen interactions.
The goal: conduct translational research that advances both basic and applied science.
The Challenge: The evolution of pathogen traits, such as virulence and antibiotic resistance, fundamentally shape the invasion, severity, and spread of disease.
Accurately predicting pathogen evolution remains challenging suggesting that current theory and empirical data miss key biology.
Approach: To address this challenge, I use theory from population ecology and evolutionary epidemiology as a guide to develop — and test — general, yet mechanistic models that advance both basic and applied science.
Biological Systems: To test theoretical predictions - and identify key biological mechanisms - I work with multiple model systems and longitudinal data from agricultural systems.
These diverse systems provide ideal case studies to better understand the bioenergetics of host defense and pathogen evolution - through the lens of evolutionary epidemiology.