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
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)