Christian Daniele website
I am Christian Daniele, Chris for everyone. In this website you will find different resources about me and my work. I am a second-year PhD student at University of Genoa and Université Côte d’Azur since March 2025, supervised by Luca Calatroni, Samuel Vaiter and Silvia Villa.
About my research
My research focuses primarily on first-order optimization methods and inverse problems. In particular, I am working on hybrid frameworks for solving inverse problems, integrating neural networks with classical optimization algorithms to enhance reconstructive accuracy and computational efficiency.
About me
Before starting the PhD, I studied at University of Genoa, completing a Bachelor’s Degree in Mathematics and a Master’s Degree in Applied Mathematics. I have also been an intern at CNRS, Sophia Antipolis, France under the supervision of Luca Calatroni and Samuel Vaiter.
What else?
I love sports! In particular, beach volleyball, volleyball, tennis, and football. If you happen to meet me at a conference, don’t hesitate to invite me to play—whatever the sport, count me in!
Posts
Recap: Computational Imaging & Learning School in Montevideo
Published:
From July 27 to July 31, 2026, we successfully held the intensive PhD and Master’s course “Computational Imaging & Learning: From Physics to Data-Driven Methods” at Universidad de la República (UdelaR) in Montevideo, Uruguay.
The teaching team: Luca Calatroni, Christian Daniele, and Simone Sanna.
Course Overview
During this one-week school, we covered the mathematical foundations of physics-based inverse problems, forward modeling, and modern data-driven / hybrid reconstruction methods.
Each day combined theoretical morning lectures with hands-on afternoon practical labs using Python and PyTorch notebooks (ranging from CT reconstruction and Plug-and-Play methods to Deep Equilibrium Models).
- Dates: July 27–31, 2026
- Location: UdelaR, Facultad de Ingeniería — Montevideo, Uruguay
- Instructors: Luca Calatroni, Christian Daniele, and Simone Sanna
A big thank you to all the PhD candidates and Master’s students in Mathematics, Engineering, and Computer Science who participated and made the school such an engaging experience!
You can find the full syllabus and daily schedule on the dedicated Teaching page.