Stephen P. Ellner

This study develops a mathematical model showing that bacterial corpses can influence infection dynamics and immune evolution by both hindering pathogen control and protecting against autoimmune damage.

This study shows individual bumble bees have small, unique, and persistent foraging repertoires, which affects disease transmission modeling by reducing the separation between subnetworks.

This paper develops a stochastic dynamic programming framework to model optimal foraging strategies in continuous landscapes with spatially varying predation risk, showing how utility functions influence foraging paths and decisions.

The paper partitions lifetime reproductive output skewness into contributions from fixed traits and various forms of luck, finding lifespan variation is key to reproductive skew and exceptional success.

The paper uses computational models to show that host-pathogen feedbacks can lead to divergent infection outcomes, even with similar initial conditions.