Research

My research interests are wide: in the past few years, I have studied Machine Learning, Inverse Problems (both in particular for solving image processing problems) and Convex Optimization. In particular, I'm interested in studying learning methods for solving variational problems: both from a theoretical and algorithmic point of view.

My PhD thesis is out! See below.

Publications:

(with K. Bredies and E. Naldi) "On extreme points and representer theorems for the Lipschitz unit ball on finite metric spaces". Arch. Math., 2024, https://doi.org/10.1007/s00013-024-01978-y.
(with E. De Vito, C. Molinari, L. Rosasco and S. Villa) ''On learning the optimal regularization parameter in inverse problems''. Preprint on arXiv, 2023.
PhD. Thesis. "Machine Learning Techniques for Inverse Problems", 2024. Click here for the document.