Ryan Gutenkunst (CV) 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 ∂a∂i, 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 Programs in Applied Biosciences, Applied Mathematics, Genetics, and Statistics. He continues to work on both systems biology and population genetics, with a focus on understanding the evolution of biomolecular networks.
Xin Huang: Population genetics, with a focus on methods for inferring distributions of fitness effects.
Jenny James: Population genetics, with a focus on applications of distributions of fitness effects.
Linh Tran: Pursuing a PhD in Genetics.
Travis Struck: M.S. in Molecular and Cellular Biology. Thesis: Research effort and evolutionary properties of genes.
Mathews Sajan: Pre-med
Connie Sun: Computer Sciences and Ecology & Evolutionary Biology