I have received my Ph.D. degree in Statistics along with a concurrent M.A. degree in Economics from Duke University in 2012. Before that, I have finished my M.S. degree in Mathematics and Statistics from Chinese Academy of Sciences in 2008. I joined the Department of Statistics at the University of Connecticut in 2012 as an Assistant Professor. In 2019, I have been promoted to Associate Professor with tenure. Here is my detailed CV.
My research centers on methodological aspects of Bayesian statistics and their applications to large-scale complex data with variables varying in time, missing or having constraints. My primary focus is in the areas of latent variable models, nonparametric and semiparametric methods, and subgroup analysis. Most of my research is carried out through a broad range of interdisciplinary collaborations in the fields of accounting, ecology, education, engineering, medicine and so on with researchers from both academia and industry.
For my previous work, I have been awarded Jeffrey’s Excellence Prize for Best Methodological Poster in 2013 Objective Bayes Conference. My interdisciplinary work published in PNAS received media coverage by several high profile national and international media outlets. As for my teaching, I have been awarded Excellence in Teaching Recognition by the Provost Office in the University of Connecticut for three times. Moreover, I have been elected member of international statistical institute (ISI) since 2017. In 2019, I am a recipient of National Science Foundation Faculty Early Career Development (NSF CAREER) Award.