Dr. Owen's current research is in statistical methods to analyze large data matrices in bioinformatics. His interests are in empirical likelihood, computer experiments, Monte Carlo especially quasi-Monte Carlo, as well as high dimensional transposable style data sets that come up in bioinformatics and Internet applications. The class taught are primarily graduate courses in applied statistics. He also frequently teach the statistical consulting course. He is a co-founder and co-director of the Stanford statistics industrial affiliates program. This program connects their departments to industrial settings in which statistical ideas are applied.