Statistical methodology for modelling large spatial/spatio-temporal datasets; uncertainty quantification of large computer experiments; Gaussian process models; composite likelihood method; Bayesian hierarchical modelling and Bayesian clustering/partitioning methods.
Past and current projects include: spatio-temporal modelling of Eastern United States ozone datasets, uncertainty quantification of a carbon capture unit, and spatial modelling of yearly total precipitation anomalies in the United States.
