Research interests

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Machine Learning for solving ODEs and PDEs

I exploit Neural Networks for approximating the solution of systems of ODEs and PDEs. I recently started studying DeepONets for various models, especially ionic models involved in the description of the cardiac cell physiology.

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Computational Cardiology

In this research area, I study preconditioners for large sparse linear systems derived from numerical discretization of PDEs involved in the description of the cardiac electrophysiology. Furthermore, I am part of the MICROCARD European research project funded by EuroHPC (link).

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Quantum Information

During my master thesis, I have explored quantum computing research areas, in particular the quantum version of the Cellular Automata. I have studied and implemented a model of interacting massless QCA, with its free dynamics recovering the Dirac Equation in the continuous limit. I occasionally collaborate also with my old colleagues and friends at the physics department of the University of Pavia.

Publications

PhD Thesis

Invited Talks

Contributed Talks

Schools

Other Activities

Visiting

Scientific Event Organization

Funding & Grants