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Research Areas
My research focuses on Mathematical Foundations of Generative Models, with particular interest in Optimal Transport, Topological Data Analysis, and the problem of learning Data Manifolds.
I have also worked on Graph Neural Networks, particularly with applications on Bioinformatics.
Ongoing Projects...
Topological Data Analysis and Diffusion Models
Optimal Transport and Diffusion Models
Wasserstein Push-forward Generative Models: convergence guarantees via Least Squares analysis
Extracting Geometry out of Diffusion Language Models
Research Visits
University of Cambridge, Cambridge, UK. (March - June 2026)
Supervisor: Prof. Carola-Bibiane Schönlieb
Concordia University and MILA-Quebec AI Institute, Montréal, Canada. (April - July 2025)
Supervisors: Prof. Simone Brugiapaglia, Prof. Mirco Ravanelli
📝 Extended Academic CV [here]
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