Raymond Wong

  • Associate Professor | Department of Statistics | Texas A&M University

Raymond is an Associate Professor in the Department of Statistics, Texas A&M University. He also takes the following roles:

  • Associate Editor, Journal of Computational and Graphical Statistics
  • Associate Editor, Journal of the American Statistical Association, Review
  • Member, Editorial Board, Chemometrics and Intelligent Laboratory Systems
  • Awards Chair, ASA Section on Statistical Computing and ASA Section on Statistical Graphics
  • Executive Committee Member, Research Institute for Foundations of Interdisciplinary Data Science (FIDS)

He was an Associate Editor for the Canadian Journal of Statistics from 2019-2021.


  • January 2023: Paper on ‘Implicit Regularization for Group Sparsity’ has been accepted by the International Conference on Learning Representations (ICLR). [link]
  • January 2023: Raymond becomes a Reviews Associate Editor for the Journal of the American Statistical Association.
  • November 2022: Raymond joins the Editorial Board of Chemometrics and Intelligent Laboratory Systems.
  • June 2022: Paper on ‘Hierarchical Nuclear Norm Penalization for Multi-view Data’ is now on arXiv. [link]
  • May 2022: Jiayi has passed her Ph.D. final exam. She will join UT Dallas as an Assistant Professor starting this August. Congratulations!
  • March 2022: Paper on ‘A New Constraint on the Nuclear Equation of State from Statistical Distributions of Compact Remnants of Supernovae’ has been accepted by the Astrophysical Journal Letters. [link]
  • March 2022: Paper on ‘Estimation of Partially Conditional Average Treatment Effect by Double Kernel-covariate Balancing’ has been accepted by the Electronic Journal of Statistics. [link]
  • January 2022: Paper on ‘Extending the Use of MDL for High-Dimensional Problems: Variable Selection, Robust Fitting, and Additive Modeling’ has been accepted by the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). [link]