Raymond Wong

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

Short Bio

I am an Associate Professor and the Director of PhD Program in the Department of Statistics at Texas A&M University. From 2014 to 2017, I was an Assistant Professor in the Department of Statistics at Iowa State University. I recieved my Ph.D. degree in Statistics from the University of California at Davis in 2014.

Professional Services

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

I was also an Associate Editor for the Canadian Journal of Statistics from 2019 to 2021. I was also the Awards Chair for the ASA Section on Statistical Computing and the ASA Section on Statistical Graphics from 2020 to 2023.

News

  • September 2024: The paper ‘A Pairwise Pseudo-likelihood Approach for Matrix Completion with Informative Missingness’ has been accepted by the Conference on Neural Information Processing Systems (NeurIPS) as a spotlight paper. [link]
  • August 2024: Raymond will become the director of PhD program for the Department of Statistics at Texas A&M University, starting this Fall.
  • June 2024: Jianing has passed his Ph.D. final exam. Congratulations!
  • May 2024: The paper ‘A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models’ has been accepted by the International Conference on Machine Learning (ICML). [link]
  • March 2024: Raymond will serve as an Area Chair for the Conference on Neural Information Processing Systems (NeurIPS) 2024.
  • February 2024: The paper ‘Broadcasted Nonparametric Tensor Regression’ has been accepted by the Journal of the Royal Statistical Society: Series B. [link]
  • February 2024: The paper ‘Balancing Method for Non-monotone Missing Data’ is now on arXiv. [link]
  • February 2024: The paper ‘Distributional Off-policy Evaluation with Bellman Residual Minimization’ is now on arXiv. [link]
  • November 2023: Raymond has been selected as a Top Reviewer for the Conference on Neural Information Processing Systems (NeurIPS).
  • October 2023: Saptarshi has been selected as a recipient of NeurIPS Scholar Award. Congratulations!