My research methodology is rooted in matrices. My interests include numerical linear algebra, multilinear algebra, data analysis, machine learning, graph algorithms, parallel processing, and scientific computing, all of which have a significant matrix component. This list is perhaps growing. I graduated from University of Minnesota, advised by Yousef Saad. I am now working with Mihai Anitescu and Michael Stein on statistical analysis of large-scale data, an interplay of statistics, optimization, linear algebra, and supercomputing. We try to answer this question: How to overcome the barrier of dense numerical linear algebra when applying statistical theories for analyzing large-scale spatiotemporal data, with the availability of distributed and parallel computing infrastructures? For other research topics that I am working or have worked on once in a while, please see my publications.