About Me
I am a computational scientist with hands-on experience in high-performance computing, scientific machine learning and numerical simulations for real-world engineering problems. I develop and deploy scalable numerical solvers (C++, MPI, GPU via Kokkos/CUDA) and AI/machine learning/data-driven models (surrogate models, generative models). My work targets concrete applications, most recently patient-specific aortic blood flows and data assimilation from medical images.
Interests
- Artificial intelligence
- Numerical modelling
- High-performance computing
Education
PhD Mathematical analysis, modelling and applications
International School for Advanced Studies (SISSA)
MS Mathematics
University of Triest
BSc Mathematics
University of Triest
Featured Publications
Preprints
Publications
(2026).
LDDMM stochastic interpolants: An application to domain uncertainty quantification in hemodynamics.
CMAME.
(2026).
Shape-informed graph neural networks and data assimilation: application to velocity and pressure reconstruction in aortic blood flow.
SIAM journal on Imaging Sciences.
(2025).
Efficient numerical strategies for entropy-regularized semi-discrete optimal transport.
Computer Methods in Applied Mechanics and Engineering.
(2025).
Friedrichs' systems discretized with the DGM: domain decomposable model order reduction and Graph Neural Networks approximating vanishing viscosity solutions.
Journal of Computational Physics.
(2025).
Explicable hyper-reduced order models with autoencoders.
Journal of Computational Physics.