CV

Education

• Ph.D in Optimization, ENS Lyon, 2028 (expected)
• M.S. in Artificial Intelligence, University of Bologna, 2025
• B.S. in Computer Science, University of Bologna, 2022

Work experience

• Spring 2025: Research Intern
  • ENS Lyon, France
  • Duties included: Newton and Quasi-Newton methods in mixed precision for Machine Learning and scientific computing;
  • Supervisor: Elisa Riccietti, Theo Mary
• Fall 2024: Software Development Engineer Intern
  • Amazon Madrid, Spain
  • Duties included: Full-Stack developing using Java and React
  • Supervisor: Javier Campos Berga
• Fall 2021: Research Intern
  • NTNU Gjøvik, Norway
  • Duties included: Python and SpaCy for quantitative semantic analysis on newspapers;
  • Supervisor: Gioele Barabucci, Angelo Di Iorio

Publications

On The Linear Convergence of Bregman Proximal Gradient Methods with Applications to Kullback–Leibler regression

Jonathan Chirinos-Rodríguez, Christian Daniele, Cédric Févotte, and Emmanuel Soubies, "On The Linear Convergence of Bregman Proximal Gradient Methods with Applications to Kullback–Leibler regression." arXiv preprint arXiv:2607.05539, 2026.

Self-Tuning Regularization for Image Scanning Microscopy

Sofia Agostoni, Lisa Cuneo, Christian Daniele, Giacomo Garré, Laurent Le, Alessandro Zunino, Giuseppe Vicidomini, and Luca Calatroni, "Self-Tuning Regularization for Image Scanning Microscopy." arXiv preprint arXiv:2605.31426, 2026.

Deep Equilibrium models for Poisson Imaging Inverse problems via Mirror Descent

Christian Daniele, Silvia Villa, Samuel Vaiter, and Luca Calatroni, "Deep Equilibrium Models for Poisson Imaging Inverse Problems via Mirror Descent." SIAM Journal on Imaging Sciences, 19(2), pp. 1077–1109, 2026.

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