Jekyll2026-08-09T08:40:03+00:00https://christiandaniele.github.io/feed.xmlChristian Daniele / WebsitePhD candidate at University of Genoa and Université Côte d'Azur. Working on Optimization methods and Inverse Problems.Christian Danielechristian.daniele@edu.unige.itRecap: Computational Imaging & Learning School in Montevideo2026-07-27T00:00:00+00:002026-07-27T00:00:00+00:00https://christiandaniele.github.io/posts/2026/07/uruguay-summer-schoolFrom 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.

Instructors of the Summer School 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.

]]>Christian Danielechristian.daniele@edu.unige.it