I am interested in developing innovative statistical methodology for massive data sets with complex dependence structures, including functional, time series, and spatial data. For many applications, these dependence structures appear concurrently.

I prefer hierarchically Bayesian models, which provide both sufficient model flexibility to tackle complex problems as well as mechanisms for regularization to prevent overfitting. 

With my research, I seek to directly and meaningfully address open questions in important fields such as economics, neuroscience, biomedical engineering, finance, and astronomy.