My research interests focus on developing neural-based methods for the efficient solution of partial differential equations(PDEs). I aim to design algorithms that scale to large-scale problems while remaining robust and reliable in real-world environments. My work lies at the intersection of scientific computing, machine learning and applied mathematics

Reduced order model Deep learning