I am an Assistant Professor in the Department of Statistics at Texas A&M University.
My research interests include statistical network analysis, machine learning, high-dimensional data analysis, and applications to neuroimaging.
About
In 2018, completed my PhD in Statistics at the University of Michigan, advised by Professor Liza Levina. I received a B.Sc. in Applied Mathematics and a B.Sc. in Computer Engineering from the Mexico Autonomous Institute of Technology (ITAM).
From August 2018 to 2021, I was a postdoctoral researcher in the Center for Imaging Science at Johns Hopkins University, and in the Department of Mathematics at the University of Maryland, College Park, working with with Professors Carey E. Priebe and Joshua T. Vogelstein at JHU, and with Professor Vince Lyzinski at UMD.
My research is supported by the National Science Foundation grant NSF DMS-2413553. Any opinions, findings, and conclusions or recommendations are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

Jesús D. Arroyo Relión
458D Blocker Building
3143 TAMU
College Station, TX 77843-3143
News
Apr 27, 2025 | Paper on multilayer community detection accepted in the Journal of the American Statistical Association (link), with Joshua Agterberg and Zachary Lubberts |
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Apr 23, 2025 | Paper accepted in Imaging Neuroscience (link), with Vivek Gopalakrishnan et al. |
Sep 18, 2024 | Paper on anomaly detection for time series of networks accepted in Computational Statistics and Data Science (link), with Guodong Chen et al. |
Jul 1, 2024 | New NSF funded proposal on Statistical Network Integration (link) |
Jun 13, 2024 | New preprint “Learning Joint and Individual Structure in Network Data with Covariates” with Carson James, Dongbang Yuan and Irina Gaynanova (link) |
Upcoming conferences
Jun 12, 2025 | International Indian Statistical Association 2025 Conference |
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Mar 28, 2025 | Conference of Texas Statisticians |
Aug 18, 2024 | Causal Inference and Prediction for Network Data |
Jul 29, 2024 | Randomness and Learning on Networks, IMPA [Slides] |
Jun 16, 2024 | Statistical Network Analysis and Beyond |