Raymond is an assistant professor in the Department of Statistics, Texas A&M University. Before joining Texas A&M, he was an assistant professor in the Department of Statistics, Iowa State University. He is currently an associate editor of the Canadian Journal of Statistics. His research focuses on statistical problems with modern data complications such as enormous volume, large dimensionality and manifold structures.
My research is mostly problem-driven and has its roots from both scientific and engineering applications. These problems arise from astronomy, brain imaging, computer experiment and recommender system. And many of them involve modern data complications such as enormous volume, large dimensionality and manifold structures. Broadly speaking, I tackle them with low-rank and/or nonparametric modeling, combining with efficient computational techniques.
My research has been graciously supported by the following external grants: