I conducted research on Dynamical Multi-Marginal Schrödinger Bridges and their application to video generation from unpaired static data.
The work bridges stochastic processes, entropy-regularized optimal transport, and generative modeling, leading to a paper submission to ICLR 2026.

I worked on inverse problem algorithms, Physics-Informed Machine Learning, and signal processing for fluid dynamics and aerospace applications.

I developed mathematical models for capillary-driven fluid dynamics and contributed to a filling system tested in microgravity during the 2022 parabolic flight campaign.

Graduated with Highest Honours (average grade: 17.37/20). Focused on applied mathematics, vision, learning, and optimal transport.

Highest honours (top 10%). Specialized in applied mathematics, optimization, modeling & simulation.

Intensive preparatory classes in mathematics and physics for engineering schools.