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We seek to understand and quantify how individuals behave in response to various interactions between them and with the environment, and how these behaviors drive community and ecosystem-level processes. Among those, we are particularly interested in emergent spatiotemporal patterns and their ecological and evolutionary implications.
To answer these questions, we study a variety of systems at various scales, from microbial communities to entire landscapes. For each of these, we develop mathematical models in which population-level processes result naturally from a detailed description of individual-level interactions and use them to investigate (eco)-system level processes that occur at the ecological and/or evolutionary scale. When possible, we test our predictions with experimental data. This approach ultimately allows us to use emergent population-level patterns as a bridge between individual behaviors and ecological and evolutionary scales. You can find more detailed information about specific projects below. 
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Funding
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