About
I work in scientific machine learning, with a focus on physics-informed neural networks, neural operators, optimization, and computational fluid dynamics. My research aims to develop accurate, stable, and scalable learning methods for physics-based systems.
Education
- PhD in Industrial Innovation, cum laude — University of Trento, 2026
- Master’s degree in Mechanical Engineering, Automation and Control — EPFL, 2021
- Bachelor’s degree in Mechanical Engineering — EPFL, 2018
Research Interests
Scientific Machine Learning
Physics-Informed Neural Networks
Neural Operators
Computational Fluid Dynamics
Optimization Algorithms
High-Performance Computing
Surrogate Modeling
Scientific Computing
Publications & Preprints
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Gauss-Newton Natural Gradient Descent for Physics-Informed Computational Fluid Dynamics
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Riemann Tensor Neural Networks: Learning Conservative Systems with Physics-Constrained Networks
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Dual Natural Gradient Descent for Scalable Training of Physics-Informed Neural Networks
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cuVegas: Accelerating Multidimensional Monte Carlo Integration: A Parallelized CUDA-based Implementation of the VEGAS Enhanced Algorithm
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Gradient-Free Homotopy Residual Learning for Fast Training of Nonlinear PDE Surrogates
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Curvature-Aware Optimization for High-Accuracy Physics-Informed Neural Networks
Workshop Papers & Related Outputs
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Taylor Mode Neural Operators: Enhancing Computational Efficiency in Physics-Informed Neural Operators
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Physics-constrained DeepONet for Surrogate CFD Models: A Curved Backward-Facing Step Case
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Hessian-Free Natural Gradient Descent for Physics Informed Machine Learning
Industry Experience
- Leonardo Labs — Visiting Researcher, 2025
- Akkodis — Aerospace Engineer, 2022
- ATR Aircraft — Aerospace Simulation Engineer Intern, 2020
Talks & Activities
- Speaker at PINN-PAD: Physics Informed Neural Networks in Padova
- Poster presentation at MSML 2025
- Poster presentation at NeurIPS 2024 Workshop ML4PS
- Poster presentation at ICLR 2024 Workshop on AI for Differential Equations
- Research talks and workshop presentations in scientific machine learning and CFD