Prior to joining Purdue, he was a postdoctoral fellow with Alberta Ingenuity Centre for Machine Learning at the Department of Computing Science at the University of Alberta. Before that, he was a graduate student and then a postdoc at the Donald Bren School of Information and Computer Sciences at the University of California, Irvine in Padhraic Smyth’s research group. His research interests lie in the area of statistical machine learning, more specifically, computational methods for learning and inference for sparse models of high-dimensional data, and their applications to scientific problems.