Co-authors
3
list available
Resume (English only)
Academic Achievements
- 2025: 'Handling geometrical variability in nonlinear reduced order modeling through Continuous Geometry-Aware DL-ROMs', Computer Methods in Applied Mechanics and Engineering, 442, 117989
- 2025: 'Multi-level Monte Carlo training of neural operators', arXiv:2505.12940
- 2025: 'On latent dynamics learning in nonlinear reduced order modeling', Neural Networks, 185, 107146
- 2025: 'Integrating Fourier neural operators with diffusion models to improve spectral representation of synthetic earthquake ground motion response', SMIRT28
- 2025: 'Beyond Interpolation: Extrapolative reasoning with reinforcement learning and graph neural networks', NEURMAD@AAAI’25
- Invited lecture at TorchPhysics: Deep Learning for Partial Differential Equations – KoMSO Academy 2025
Research Experience
- Tenure-Track Assistant Professor, Department of Mechanical Engineering, University of Washington, Sep 2025–Present (Seattle, USA)
- Visiting Researcher, Department of Computer Science, University of Cambridge, Sep 2023–Present (Cambridge, UK; hosted by Prof. Pietro Liò and Prof. Carola Schönlieb)
- Junior Assistant Professor, Future Artificial Intelligence Research (FAIR) Foundation, Feb 2023–Aug 2025 (Milano, Italy)
- Visiting Scholar, Isaac Newton Institute for Mathematical Sciences, University of Cambridge, Mar–Apr 2023 (Cambridge, UK; program: 'The mathematical and statistical foundation of future data-driven engineering')
- Risk Advisory Intern, Ernst & Young, Jun–Nov 2017 (Milano, Italy); responsibilities included Datamart design, SQL data extraction, and automation of Data Quality processes using Access and VBA
- Exchange Program, Sorbonne Universités (UPMC), Sep 2015–Mar 2016 (Paris, France)