Publications: 'Continuous Simplicial Neural Networks' accepted at NeurIPS 2025; 'Semi-Supervised Graph Learning for Underwater Source Localization Using Ship-of-Opportunity Spectrograms' accepted at the Journal of the Acoustical Society of America; 'Subgraph Gaussian Embedding Contrast for Self-Supervised Graph Representation Learning' accepted at ECML PKDD 2025; 'Piecewise Constant Spectral Graph Neural Network' accepted in TMLR.
Research Experience
Currently an Assistant Professor at Télécom Paris, Institut Polytechnique de Paris. Visiting researcher at Centre de Vision Numérique (CVN) and Inria OPIS, CentraleSupélec, Université Paris-Saclay (2022); visiting researcher at CVPR Lab, Università degli Studi di Napoli Parthenope, Italy (2021). Research Assistant at the University of Delaware, USA (2018–2019), focusing on Graph Signal Processing.
Education
Ph.D. in Applied Mathematics from La Rochelle Université in 2022; Master's degree with honors in Electronics Engineering from Universidad de Antioquia, Colombia in 2018; Bachelor's degree in Electronics Engineering from Universidad de Antioquia, Colombia in 2016.
Background
Research interests: Geometric Deep Learning (graph and higher-order networks), Computer Vision, Machine Learning, and Graph Signal Processing. Professional affiliations: Member of the Information Processing and Communications Laboratory (LTCI) Multimedia team, ELLIS Society, and IEEE Signal Processing Society.
Miscellany
Call for motivated students interested in geometric deep learning for internships starting in spring 2026, with a possibility of a PhD opportunity.