ANGULO Gustavo (Jesús)

Gustavo (Jesús) Angulo is a Senior Research Scientist (Directeur de Recherche) at Mines Paris – PSL, working within the Center for Applied Mathematics (CMA). He leads the Mathematics & Systems Department. His research focuses on mathematically informed approaches to artificial intelligence, drawing on nonlinear image processing, mathematical morphology, topology of data, stochastic geometry, tropical geometry, and PDE‑based models. He has more than twenty years of experience in academic and industrial research and regularly collaborates with companies on advanced AI and computer vision technologies. He was Visiting Scientist at the Center for Data Science at New York University in 2023.

Informations

Institutions: Mines Paris – PSL University

Thematics: Nonlinear Mathematics for Computer Vision ; Nonlinear Mathematical Foundations of Machine Learning

Topic of interest: mathematics of deep learning ; geometry-informed deep learning ; mathematical morphology ; stochastic geometry ; maxplus algebra and analysis ; equivariance in neural networks and image processing ; Hamilton-Jacobi PDEs and semigroups

jesus.angulo_lopez@minesparis.psl.eu

Project in Prairie

He leads one of the PR[AI]RIE‑PSAI research chairs, where his team develops AI methods that integrate the expressive power of deep neural networks with explicit, interpretable, and rigorous mathematical structures. This work contributes to PR[AI]RIE’s mission of advancing reliable, explainable, and societally impactful AI, grounded in strong theoretical foundations. His research covers multivariate and non‑Euclidean imaging—such as hyperspectral, polarimetric, and tensor‑valued data—and supports applications in biomedicine, remote sensing, materials science, and industrial vision.