Our group is dedicated to developing statistical models and methods for space-time data to solve important environmental problems. We focus on statistical inferences of spatio-temporal processes, including developing informative graphical tools for complex space-time datasets, building realistic models for natural spatio-temporal processes and finding computationally efficient methods for estimating and assessing the fit of such models.

We welcome highly motivated graduate students and experienced postdoctoral researchers to join our group. We are also interested in multidisciplinary collaborations.​