I received my Ph.D in Statistics from University of Washington with Prof.
Matthew Stephens in 2008. In 2008-2011, I was a
postdoctoral researcher with Profs. Peter Bickel
and Haiyan Huang at University of California
My primary research interests concern developing statistical methods for uncovering complicated patterns
in large and complex biological data. I have been developing latent variable models (e.g. mixture models,
copula models) and machine learning techniques (e.g. clustering or classification) to identify and infer
scientifically meaningful structures from high-throughput genomic and proteomic data.
If you are interested to join or have a rotation, please email me.