Prior to joining Columbia in 2021, I spent a year 2020-2021 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.
I am looking for motivated Ph.D. students to work with me.