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James Boyko is an Assistant Professor in the Department of Ecology and Evolutionary Biology at the University of Michigan. He is broadly interested in phylogenetic comparative methods and seeks to improve past research focused on traditional comparative methods and their applications in trait evolution. His methodologies include discrete character Markov models, Ornstein-Uhlenbeck models, and state-dependent speciation extinction models. Recently, he has become interested in integrating artificial intelligence techniques, primarily deep learning, into these comparative methods. This research aims to enhance the understanding of phenotypes and phenotypic evolution.
University of Michigan • Ann Arbor, MI
Teaching and research in ecology and evolutionary biology.
Department of Electrical Engineering and Computer Science