He has developed a variety of Bayesian methods for multivariate data, including covariance and copula estimation, cluster analysis, mixture modeling and social network analysis. He gained his PhD in Statistics from the University of Wisconsin – Madison in 2000 and was the winner of the Leonard J. Savage Award for Outstanding Doctoral Dissertation in Bayesian Theory and Methods from the International Society for Bayesian Analysis. He has been at the University of Washington since 2000 and he is on the editorial board of the Annals of Applied Statistics, JRSSB and Statistical Science.