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 May 2020 I received a Ph.D. in Statistics from the University of Michigan, advised by Prof. Gongjun Xu. In July 2015 I received a B.S. in Mathematics from Tsinghua University.
I am broadly interested in latent variable models and statistical machine learning. I have developed methods and theory for structured latent class models, multivariate categorical data, psychometrics, cognitive diagnostic modeling, and my research interests also include tensor decompositions, graphical models, mixture models, Bayesian statistics.
My first name can be pronounced as
/ju:tʃi/ and my name in Chinese is 顾雨琦.
|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.|