I am Associate Professor at Department of Statistical Science, Duke University. I got a BSc in Mathematics from Peking University in 2001, and PhD in Biostatistics from Johns Hopkins University in 2006. Before joining Duke in 2008, I did a postdoctoral fellowship at Harvard Medical School Department of Health Care Policy.
My main research interest in statistical methodology is causal inference, that is, designs and methods of analyses to evaluate treatments, interventions or actions in randomized experiments or observational studies, and their applications to social sciences, economics, health policy, epidemiology and engineering. I also have a strong interest in statistical methods for big and complex data, such as neuroimaging data, with an emphasis on developing advanced Bayesian inferential and computational methods. I also work on missing data, variable selection, and small area estimation.