Ryan Gutenkunst received his Ph.D. in physics from Cornell University, where he worked with Jim Sethna on unveiling universal “sloppy” parameter sensitivities in systems biology models and on modeling their evolutionary implications. He then did a postdoc with Carlos Bustamante, where he developed dadi, a powerful method for inferring population histories from genomic data. His second postdoc was with Byron Goldstein at Los Alamos National Lab, where Ryan modeled aspects of immune signaling in mast cells.
Ryan joined the faculty in Molecular and Cellular Biology at the University of Arizona in Fall 2010. He is also a member of the BIO5 Institute, the Departments of Ecology and Evolutionary Biology and Epidemiology and Biostatistics, and the Graduate Interdisciplinary Programs in Applied Biosciences, Applied Mathematics, Genetics, and Statistics and Data Science.
Outside of work, Ryan’s interests include his family, triathlon, and alpine skiing.