Co-Founder of MODAL - Mathematical Modelling and Data Analysis Laboratory; Co-Founder of an academic spin-off, Predico s.r.l.; Co-inventor of a patent: PredicTS-Prediction method and related system.
Research Experience
Works in the field of numerical analysis, specifically on defining new fitting models that mimic the behavior of experimental data and complex systems; explores a solid theoretical foundation for AI, particularly the optimization landscapes of learning algorithms, the dynamics of learning in high-dimensional spaces, and generalization properties of neural networks; investigates scientific machine learning, especially the development of Physics-Informed Neural Networks (PINNs).
Education
Department of Mathematics and Applications 'R. Caccioppoli', University of Naples Federico II
Background
Professor of Numerical Analysis, focusing on numerical approximation problems (theory, practice, and applications), mathematical aspects of artificial intelligence, and scientific machine learning.
Miscellany
Aims to transfer edge knowledge from research in numerical analysis and AI into innovative services and real-world applications.