About
Mitchell develops mathematical and computational theory to understand how the evolutionary process produces form and function in biology and culture. He comes from a background in Physics, Biomathematics and computation with a PhD in theoretical population genetics. He specializes in probability theory, statistical inference and models of ecological and evolutionary dynamics. He has measured constraints on the optimal morphology of circulatory systems and used population-based evolutionary models to explain aspects of how human languages change over time. His work has appeared in Nature, PLoS Computational Biology and Theoretical Population Biology as well as in the popular press Buzzfeed and The Atlantic.
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