Computational Organismal Biology, Ecology and Evolution

The specialization in Computational Organismal Biology, Ecology and Evolution (COBEE) will train students with the objective of using combined computational and empirical approaches at the interface of ecology, evolution and organismal biology with the aim of modeling how processes at different scales of biology – from individual to populations to communities and ecosystems – impact each other. While each of these fields has a rich tradition of quantitative methods, new computational approaches are required to bridge process-based individual models with population, community, and ecosystem phenomena. This includes reciprocal interactions between the evolution and expression of individual traits with population dynamics and the myriad of pathways through which organisms engage and respond to their environment. Making these links will benefit from expertise in a variety of adjacent disciplines including mathematics, statistics, computer science, and biomechanics. This program will expect students to conduct research at the interface of at least two of these focal fields (organismal biology, ecology and evolution).

Computational Organismal Biology, Ecology and Evolution Courses