Our goal is to develop and use statistical methods to understand observed genetic variation in humans and pathogens. We are interested in efficient statistical inference and efficient probabilistic modeling in evolutionary genomics, infectious diseases and in more general stochastic processes that would have an impact in public health.
I am Assistant professor in the departments of Statistics and Biomedical Data Science. I did my PhD in Statistics at the University of Washington with Vladimir Minin and a joint postdoc with John Wakeley and Sohini Ramachandran.
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
Alan AwAlan's project investigates mathematical properties of molecular genetic statistics. The site frequency spectrum (SFS), computed from genomic data, is used to infer evolutionary histories, including selection, bottlenecks and expansions. The lack of tractable mathematical formulas for the distribution of SFS-based statistics under various demographic models has led to the reliance on hypothesis testing methods to infer demographic history. Using analytical methods, we obtain model-free bounds placed by parameters of the sampled data on the SFS, which guide the visualization and interpretation of SFS-based summary statistics for demographic inference and help explain mathematical constraints placed by one statistic on another. (Co-supervised by Noah Rosenberg.)
Jaime Roquero (Rotation Fall 2018)
Xinyuan Huang (RA Winter-Spring 2017)