Prior to Columbia, I spent a year from July 2020 to June 2021 as a postdoctoral researcher at Duke University, mentored by Prof. David B. Dunson. In 2020 I received a Ph.D. in Statistics from the University of Michigan, advised by Prof. Gongjun Xu. In 2015 I received a B.S. in Mathematics from Tsinghua University.
I am broadly interested in latent variable models, including their various variants in statistical machine learning and their applications in social and biomedical sciences. My current research interests include methods and theory of complicated latent structures, mixed membership models, multivariate categorical data, psychometrics and cognitive diagnostic modeling; and I am also very interested in the related fields of tensor decompositions, graphical models, mixture models, and Bayesian statistics.
My first name can be pronounced as
/ju:tʃi/ and my name in Chinese is 顾雨琦.
|09/23/2021||Our new preprint Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data is out.|
|07/09/2021||Our paper A Joint MLE Approach to Large-Scale Structured Latent Attribute Analysis has been accepted to the Journal of the American Statistical Association (JASA).|
|07/01/2021||I joined Columbia University as Assistant Professor of Statistics.|
|03/31/2021||I received an IMS New Researcher Travel Award for this preprint.|
|03/12/2021||I received Honorable Mention for ProQuest Distinguished Dissertation Awards from University of Michigan.|
|05/01/2020||I obtained my Ph.D. in Statsitics and graduated from the University of Michigan.|
|03/31/2020||I received the Inaugural IMS Lawrence D. Brown Ph.D. Student Award, Institute of Mathematical Statistics (IMS); a preview is here.|