I have a broad research interest in statistics and its related fields, ranging from the recent development in statistical learning theory to the area of classical statistics that date back to fifty years ago. Besides, I am also interested in the real world application of statistics in engineering and various other fields.

My previous research (with Professor Zhi Geng at Peking University and several other students) mostly focused on graphical models, especially on the structural learning of directed acyclic graphs (also known as Bayes net) and understanding the theoretical perspective of graphical models in general. We also studied several association measures and their collapsibility.

I am now working with Professor Xiao-Li Meng on multiple imputation, where we are trying to gain a better understanding of how the method works when model uncongeniality is present. I am also continuing the research on graphical models and their applications in practice.