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.
Jesús D. Arroyo Relión
458D Blocker Building
3143 TAMU
College Station, TX 77843-3143
News
| Jun 13, 2024 | New preprint “Learning Joint and Individual Structure in Network Data with Covariates” with Carson James, Dongbang Yuan and Irina Gaynanova (link) |
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| May 1, 2024 | I co-organized the 2024 SETCASA Student Poster Session (link) |
| May 1, 2024 | New pre-print with collaborators from Johns Hopkins University (link) |
| Jan 16, 2024 | New class “Special topics in Network Data Analysis” being offered during Spring 2024, supported by the TAMIDS Course Development Grant Program (link) |
| May 31, 2023 | TAMIDS Course Development Grant Program awarded (link) |
Upcoming conferences
| Jul 29, 2024 | Randomness and Learning on Networks, IMPA [Slides] |
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| Jun 16, 2024 | Statistical Network Analysis and Beyond |
| Jan 6, 2024 | IMS Asia Pacific Rim Meeting |
| Dec 16, 2023 | CMStatistics 2023 |
| Oct 20, 2023 | Statistical Inference on Networks and High-Dimensional Data Workshop |