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.