I have worked on the following topics:

• Data-driven methods for Inverse Problems

• Statistical Learning Theory

• Convex/nonconvex Optimization

My PhD. Thesis:  "Machine Learning Techniques for Inverse Problems", 2024. Available here.

Links to my publications on arXiv, my Research Gate profile and my Google Scholar profile. 

Preprints:

• (with K. Bredies and E. Naldi) "Learning Firmly nonexpansive operators". Arxiv preprint, 2024.

Journal publications:

• (with E. De Vito, C. Molinari, L. Rosasco and S. Villa) ''On learning the optimal regularization parameter in inverse problems''. Inverse Problems, 2024. https://doi.org/10.1088/1361-6420/.

• (with K. Bredies and E. Naldi) "On extreme points and representer theorems for the Lipschitz unit ball on finite metric spaces". Arch. Math., 2024.