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
436 Blocker Building
3143 TAMU
College Station, TX 77843-3143
News
Dec 9, 2022 | New pre-print “Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic Blockmodels”, with Joshua Agterberg and Zachary Lubberts. |
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Jun 7, 2022 | “The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks” is now published at JMLR. |
May 6, 2022 | New pre-print: “Clustered Graph Matching for Label Recovery and Graph Classification”, with Zhirui Li, Konstantinos Pantazis and Vince Lyzinski. |
Mar 1, 2022 | New article: “Effect of Mexico’s vaccination program on COVID-19 cases, hospitalizations, and deaths among older adults in Mexico City”, accepted at Salud Pública de México (in press). |
Feb 3, 2022 | “Valid two-sample graph testing via optimal transport Procrustes and multiscale graph correlation with applications in connectomics” is now published at Stat |
Talks
Jul 11, 2023 | XVI Congresso Latino Americano de Probabilidade E Estatística Matematica (CLAPEM) [slides] |
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Jun 7, 2023 | International Purdue Symposium on Statistics |
Jun 1, 2023 | 2023 IISA Conference |
Mar 10, 2023 | Alamo Symposium in Statistics |
Dec 17, 2022 | CMStatistics 2022 |