Xiongzhi Chen

Assistant Professor
Office: Neill Hall 230
Phone: (509) 335-3150
Fax: (509) 335-1188
Email: xiongzhi.chen@wsu.edu

Education and Training
  • Postdoctoral Research Associate, Princeton University, 2013-2017
  • PhD in Statistics, Purdue University, 2012
  • MA in Mathematics, University of Hawaii, 2009
  • MS in Mathematics, Sichuan University, 2006
Courses
Current Research Interests
  • Analysis of non-Euclidean data (such as networks, shapes, images and tensors), focusing on establishing a framework for statistical modeling and inference with partial or no vector space structure.
  • Spectra of random matrices (including those of sample auto-correlation/auto-covariance matrices/adjacency matrices) with applications to inference on high-dimensional data.
  • Statistical inference on stochastic differential equations (including those driven by fractional Brownian motions) with applications in finance, biology and geology.
Past Research Interests
  • Latent variable models for high-dimensional data with applications in genomics and signal processing, focusing on the relationship between variational Bayes inference and non-parameteric cross-dimensional inference.
  • Simultaneous inference (including variable/model selection and multiple comparison) with applications in biology and pharmaceutical science, focusing on a unified framework for grouped, adaptively weighted FDR procedures for general p-values (that are not necessarily super-uniform).
More about me and my research
Acknowledgements
    I am very grateful in particular to Gerard Letac (Universite Paul Sabatier), Sanat K. Sarkar (Temple U), Armin Schwartzman (UCSD), Donald St. P. Richards (Penn State U), Hong-ming Yin (WSU), Yimin Xiao (Michigan State U), Persi Diaconis (Stanford U) and Wayne Smith (U of Hawaii) for advice and help on my research.