We study biology using experiments and mathematical models. Experiments help constrain models, and model predictions drive new experiments. We also use mathematical models to explore a variety of alternative scenarios to discover general principles. Examples of our research interests include the evolution of cooperation and cheating, spatial patterning in microbial communities, artificial selection of microbial communities, quantitatively bridging individual-level phenotypes to community-level traits, and statistical causal inference from time series data.
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