I am Associate Professor (Reader) in Machine Learning in the Applied and Computational Mathematics research group at the University of Edinburgh, School of Mathematics. I am also affiliated with the Numerical Analysis and Data Science group at the Gran Sasso Science Institute, an International School of Doctoral Studies and one of the Italian Superior Graduate Schools.
My research interests lie at the intersection between machine learning and scientific computing. My recent work includes the design and analysis of physics-inspired deep learning models for scientific simulations and climate forecasting, machine learning approaches to OOD, deep learning models compression and speed-up, theoretical analysis of neural networks in the infinite width and infinite depth limits.
Service
- GAIL Fellow at the Generative AI Lab, Edinburgh, 2024–
- Bayes Innovation Fellow at the Bayes Centre, Edinburgh, 2024–
- Turing Fellow at the Alan Turing Institute, 2024–
- Associate Editor, SIAM Review, Survery and Reviews section, 2021—
- Associate and Managing Editor, ETNA: Electronic Transactions in Numerical Analysis, 2019—
- Associate Editor, CMM: Computational Mathematics and Modeling
- Evaluator and Rapporteur for the EU’s Horizon2020 and Horizon Europe Marie Skłodowska Curie fellowship programs, 2020—
- Member of the Maxwell Institute for Mathematical Sciences, 2023–
- Member of the Numerical Analysis and Data Science group at GSSI, 2019—
- Assistant Editor, Open Mathematics, 2017—
- Steering Committee, Doctoral school in mathematics, GSSI, 2020—
Previous appointments
Education
- PhD in Computational Mathematics, University of Rome Tor Vergata (Dec 2015)
Advisors: Carmine Di Fiore and Dario Fasino
- MSc in Applied Mathematics, University of Rome Tor Vergata (Dec 2011)
- BSc in Mathematics, University of Rome Tor Vergata (Dec 2009)
- BSc in Computer Science, University of Rome Tor Vergata (Dec 2008)