I am a Postdoc/Software Engineer at Fariba Karimi’s group, Network Inequality and Fairness, at TU Graz (Austria). I obtained my PhD at Max Planck Institute for Intelligent Systems in Tübingen (Germany), under the supervision of Caterina De Bacco, in the Physics for Inference and Optimization group. I was part of the PhD at the International Max Planck Research School for Intelligent Systems (IMPRS-IS), affiliated to the Cyber Valley, and to the University of Tübingen.
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.
My research focuses on structural inequalities in networks and developing methods to mitigate these imbalances. Previously, I explored how Optimal Transport techniques can be applied to solve network-related problems.
Research Interests:
- Optimal Transport: theory and real-world applications
- Network science: community detection, link prediction, and routing optimization
- Hypergraph theory and its applications
- Probabilistic Machine Learning
You can find a list of my scientific works on the tab “Publications”.
I’m deeply interested in finding creative ways to bridge the gap between complex research and public understanding. Whether through building intuitive software tools, engaging in science communication, or creating illustrative digital art, I aim to make scientific work more accessible and engaging to broader audiences.
News
- July, 2025: I started to work as a Postdoc/RSE with Fariba Karimi and her amazing team at TU Graz in Austria.
- July, 2024: I successfully defended my PhD!
- November, 2023: I joined Jean-Claude Passy’s and his great team at MPI-IS to work as a RSE.
- 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.