Marcello Carioni

Marcello Carioni is an Assistant Professor affiliated with the Digital Society Institute, TechMed Centre, and Mathematics of Imaging & AI. His research focuses on inverse problems, optimal transport, regularization techniques, and mathematical analysis with applications in machine learning and imaging. He has published extensively, including 35 research outputs since 2016, with a notable h-index of 23 and 228 citations.

His work bridges theoretical mathematics and practical applications, addressing challenges in sparsity recovery, dynamic systems, and convex optimization. Recent contributions include advancements in optimal transport regularization, sparse optimization frameworks, and neural network representations in infinitely wide regimes. Collaborations span international teams, reflecting his interdisciplinary approach to mathematical challenges.

Carioni has delivered invited talks on topics like dynamic inverse problems and optimal transport methods, showcasing his engagement with both academic and applied communities. His research emphasizes methodological innovation, with a focus on solving complex problems in imaging and data science through rigorous mathematical foundations.