Michael Nute received his Ph.D. in Statistics in 2019 from the University of Illinois at Urbana-Champaign where he was advised by Dr. Tandy Warnow in the Department of Computer Science and worked on algorithms related to multiple sequence alignment and phylogenetic tree estimation, in particular on applying these methods to studying microbial communities. He was co-advised by Dr. Rebecca Stumpf in the Department of Anthropology where he and other lab members developed novel methods to compare the microbiomes of human and non-human primates. His research interest is in discovering a new applications for our understanding of microbial communities. Prior to graduate school he worked for seven years in management consulting and property/casualty insurance.
WEBSITE(S)| Research Site
Computational Biology, Microbial Ecology, Statistical Learning, Data Visualization, Biodefense
Ph.D., Statistics, University of Illinois at Urbana-Champaign (2019)
B.A., Mathematics, Economics, Cornell University (2005)