Computational Organismal Biology, Ecology and Evolution

Computational Organismal Biology, Ecology and Evolution

Student conducts biological research in fresh water
Combine computational and empirical approaches at the interface of ecology, evolution, and organismal biology

Our students unearth the processes that control productivity across ecosystems and develop models to explore how global environmental changes are affecting organismal evolution, biodiversity, and ecosystem services. They also apply likelihood and Bayesian analyses to ecological data as well as develop theoretical models of food web interactions.

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Students conduct field research
Researcher collects data from a field station
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Computational Organismal Biology, Ecology and Evolution

If you want to combine new computational approaches with traditional quantitative methods to bridge process-based individual models with population, community, and ecosystem phenomena, then Computational Organismal Biology, Ecology and Evolution is for you!