About Yun Song's Work

I do interdisciplinary research in biology, applying tools from computer science, mathematics, statistics, and physics. I am interested in both theoretical and applied problems that arise from diverse areas of biology, including population genetics, computational genomics, and immunology. My lab works on deriving novel mathematical results on stochastic models of biological systems (such as mRNA translation dynamics), as well as developing useful inference methods that are generalizable to complex models and scalable to big data.

Awards and Achievements

NIH Pathway to Independence Award (K99/R00)

Alfred P. Sloan Research Fellowship


Math+X Simons Chair

Chan Zuckerberg Biohub Investigator Award