I am interested in developing statistical methods to better understand complex stochastic phenomena. I am currently working on efficient statistical inference and probabilistic modeling in evolutionary genomics, infectious diseases and in more general stochastic processes that would have an impact in public health.
Our group is working on diverse topics that include the development of Bayesian nonparametric methods, new tools for computational statistics, development of new coalescent models and efficient MCMC methods. We are working on several applications in genetics, biology, health and cancer.
Thanks to NIH, NSF, Sloan Foundation, Terman Fellowship and the Discovery Innovation Fund for supporting the lab.
I am Associate professor of Statistics and Biomedical Data Science and by Courtesy of Biology.
Check here if you are interested in undergraduate research in statistics this summer.
We are currently recruiting talented undergraduate, graduate students and post-docs to join our research.
Department of Statistics
390 Serra Mall
Stanford, CA 94305-4065
email: juliapr " " stanford.edu