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Steven Evans is a distinguished professor in the Department of Statistics at the University of California, Berkeley. His research focuses on large random combinatorial structures, random matrices, and stochastic processes, especially their applications in various fields such as biodemography, mathematical finance, and population genetics. His work on measure-valued processes, including superprocesses, has collaborated with prominent researchers such as Persi Diaconis and Jim Pitman. Evans has published extensively, often in collaboration with noted statisticians and mathematicians, contributing to advancements in probability algebraic structures, notably in local fields. He is currently exploring areas involving phylogenetic inference, particularly using computational methods to address questions in historical linguistics. His ongoing projects involve understanding the applications of stochastic models in population genetics and investigating metrics in evolutionary biology. Evans continues to guide students on various research topics related to random matrices and probabilistic models.
The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.