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
- NSF CAREER Award
- Math+X Simons Chair
- Chan Zuckerberg Biohub Investigator Award