Yun S. Song was originally trained in mathematics and theoretical physics, but since receiving his Ph.D. in physics from Stanford University in 2001, he has been carrying out interdisciplinary research at the interface between biology and applied mathematics, computer science and statistics. He is particularly interested in statistical inference problems in population genetics, a branch of evolutionary biology closely related to several areas of mathematics, including probability theory, stochastic processes and combinatorics.
Since 2007, Song has been on the faculty in the Departments of Statistics and Electrical Engineering & Computer Sciences at the University of California, Berkeley. He was the chair/organizer of a semester-long interdisciplinary program on “Evolutionary Biology and the Theory of Computing,” held in Spring 2014 at the Simons Institute for the Theory of Computing. As the Calabi-Simons Chair in Mathematics and Biology at the University of Pennsylvania, he will work to promote the interaction between mathematicians and scholars from other disciplines with research interest in biology.
Song’s honors and awards include an NIH Pathway to Independence Award K99/R00 (2006), an Alfred P. Sloan Research Fellowship (2008), a Packard Fellowship for Science and Engineering (2008), an NSF CAREER Award (2009), Jim and Donna Gray Faculty Award for Excellence in Undergraduate Teaching (2013) and a Miller Research Professorship (2014).