Bayesian statistics, computer simulation experiments, spatial statistics, inverse problems, model selection and model averaging, nonparametric regression, neural networks, classification and clustering.
Lee earned a B.S. in mathematics from Yale University and M.S. and Ph.D. degrees in statistics from Carnegie Mellon University. Before coming to UCSC he was a visiting assistant professor at Duke University.