Jesús Arroyo is a Post-Doctoral Associate in the Department of Mathematics at the University of Maryland, College Park, and an Adjunct Assistant Research Scientist in the Department of Applied Mathematics and Statistics at Johns Hopkins University. His research focuses on statistical inference for networks, high-dimensional data analysis, machine learning, and applications to connectomics. He completed his Ph.D. in Statistics at the University of Michigan, and his undergraduate degree at the Mexico Autonomous Institute of Technology (ITAM).