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We focus on developing and rigorously testing statistical
methods and stochastic models to describe genetic phenomena.
These include models and methods to: predict how viruses adapt; show
the effect of antibiotic resistance genes encoded on plasmids; predict
ancestral relationships among species; and to understand the ecological
structure of bacterial communities in biofilms. This broad focus
has lead to collaborations with
phylogenetics, population genetics, theoretical ecology, mircobial
ecology, experimental evolution, conservation genetics, and the
list is growing.