James Boyko

James Boyko serves as an Assistant Professor in the Department of Ecology and Evolutionary Biology at the University of Michigan, where he advances computational approaches to evolutionary biology through phylogenetic comparative methods.

His research program integrates:

• Traditional trait evolution modeling using discrete character Markov processes
• Ornstein-Uhlenbeck frameworks for adaptive evolution
• State-dependent speciation-extinction (SSE) models
• Deep learning techniques to enhance phenotypic analysis

Current work focuses on bridging artificial intelligence with evolutionary theory to decode complex phenotypic patterns, emphasizing how machine learning can refine comparative methodological frameworks for macroevolutionary studies.

He maintains active correspondence through jboyko@umich.edu within the university's Biological Sciences Building infrastructure.