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 ICML 2026.

Developed inverse problem solvers based on Physics-Informed Neural Networks for high-dimensional space signal reconstruction. Designed uncertainty-aware models for remote sensing data.

Developed uncertainty-quantified deep models for remote sensing image enhancement.

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.