I am a PhD student at Max Planck Institute for Intelligent Systems in Tübingen (Germany), working with Caterina De Bacco, in the Physics for Inference and Optimization group. Previously, I was a Master’s student at IMPA (in brazilian portuguese: Instituto de Matemática Pura e Aplicada,), in Rio de Janeiro (Brazil), working with Roberto Imbuzeiro at the intersection of Graph Theory and Applied Probability. I have a degree in Mathematics, obtained at the ULA (in spanish: Universidad de Los Andes) in Mérida, Venezuela, where I am originally from.
I am a PhD at the International Max Planck Research School for Intelligent Systems (IMPRS-IS), affiliated to the Cyber Valley, and to the University of Tübingen.
My research focuses on applying Optimal Transport methods to solve problems on networks. Some of my research interests include:
- Optimal Transport theory and applications
- Network-related problems, like community detection, link prediction, routing optimization
- Hypergraph theory and applications
- Probabilistic Machine Learning
You can find a list of my scientific works on the tab “Publications”.
News
- May, 2023: I started as a visiting researcher at the Helmholtz Zentrum Munich, under a HIDA Visiting Researcher Grant. I will be working at Theis Lab for the next +/-3 months.
- January, 2023: Paper accepted in Frontiers! Immiscible Color Flows in Optimal Transport Networks for Image Classification.
- January, 2023: Paper published! Convergence properties of optimal transport-based temporal hypergraphs.
- October, 2022: Paper published! Community Detection in networks by Dynamical Optimal Transport-based Formulation.
- August, 2022: Paper accepted (still unpublished) at Journal of the Royal Statistical Society: Series A: Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data
- May, 2022: A new preprint is online: Immiscible Color Flows in Optimal Transport Networks for Image Classification.