characterizing Natural isolates

We are using the 100-genomes collection, which contains environmental isolates from ecological niches as varied as industrial fermentations, woodlands, and clinical settings, to study biofilm formation, quorum sensing, and toxin production in Saccharomyces cerevisiae. Natural variation can provide insight into the selective pressures in the environment.

Computational Simulations

We are using stochastic, individual-based simulations to test the effect of different social scenarios in microbial communities.

Current Funding

NSF EAGER: Investigating a Trojan Horse strategy to disrupt Saccharomyces biofilms (Role: PI)

Previous Funding

Jeffress Trust Awards Program in Interdisciplinary Research: Exploring the evolutionary and molecular dynamics of mixed biofilms to disrupt their stability (Role: PI; with co-PI Leah Shaw)