Raymond is an Associate Professor in the Department of Statistics, Texas A&M University, and an Executive Committee Member of the Research Institute for Foundations of Interdisciplinary Data Science (FIDS) funded by NSF TRIPODS Initiative. He is also 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: