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.


From 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 Professor Vince Lyzinski at UMD, and with Professors Carey E. Priebe and Joshua T. Vogelstein at JHU.

I 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).

Jesús D. Arroyo Relión
436 Blocker Building
3143 TAMU
College Station, TX 77843-3143


Aug 1, 2021 I have moved from (virtual) College Park to College Station, and joined the Department of Statistics at Texas A&M University.
Jun 18, 2021 New pre-print update: "The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks", with Konstantinos Pantazis, Avanti Athreya, William N. Frost, Evan S. Hill and Vince Lyzinski
May 31, 2021 "Overlapping community detection in networks via sparse spectral decomposition" is now published online in Sankhya A.
May 17, 2021 "Graph Matching Between Bipartite and Unipartite Networks: to Collapse, or not to Collapse, that is the Question" has been accepted to IEEE Transactions on Network Science and Engineering.
Mar 5, 2021 "Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks" is now published online in the Journal of Computational and Graphical Statistics.