Team

I have and have had the privilege to work with several brilliant young minds during my career on a plethora of different projects. Here is the list of the students and researchers I have supervised, and, where known, some information on what they have become (only for PhD and Post-docs). Currently, I am the PI of the Computational Imaging & Learning (CIL) research team of the MaLGa research centre.

Post-doc researchers

• Andrea Sebastiani (February 2026-), co-supervision with G. S. Alberti (MaLGa, UniGe): Learning and compressed sensing for image super-resolution in fluorescence microscopy.

• Giacomo Meanti (February 2026-), co-supervision with L. Rosasco (MaLGa, UniGe): Operator learning and unsupervised approaches for image reconstruction.

• Nathan Buskulic (January 2025-), Learning for (semi-)blind inverse imaging problems.

• Gabriele Scrivanti (October 2024-), co-supervision with S. Cacovich (CNRS, IPVF): Self-supervised learning for image reconstruction in material science and fluorescence microscopy.

• Ilias Rentzeperis (October 2021 - October 2022), co-supervision with D. Prandi (CNRS, L2S), L. Perrinet (CNRS, INT):  Sparse coding and efficient representation of visual stimuli. After: Post-doc at Spanish Centre of Research (CSIC).

PhD students

• Sofia Agostoni (November 2025-), Bayesian and generative approaches for image reconstruction for high-resolution fluorescence microscopy imaging.

• Christian Daniele (March 2025-),  co-supervision with S. Vaiter (CNRS), S. Villa (UniGe), Deeply learned regularisation for non-quadratic imaging inverse problems. Best poster award @ UniBo PhD school 2025.

• Hamza Mentagui (November 2023-unfinished), co-supervision with L. Blanc-Féraud (CNRS), Generative and optimisation approaches  for super-resolution in fluorescence microscopy.

• M'hamed Essafri (October 2023-), co-supervision with E. Soubies (CNRS), Exact relaxations for sparse optimization.

• Perrine Saillard (November 2022-), co-supervision with R. M. Dessì (UCA): Artificial intelligence and mathematical imaging techniques for restoration of frescoes and mural paintings in the Alpine arc.

• Marta Lazzaretti (November 2020-April 2024), co-supervision with C. Estatico (UniGe):  Optimisation algorithms in non-standard Banach spaces for inverse problems in imaging. PhD thesis. EDSTIC best PhD thesis award. After: PostDoc at MIDA group, University  of Genoa, IT.

• Vasiliki Stergiopoulou (January 2020 -January 2023 ), co-supervision with L. Blanc-Féraud (CNRS) and S. Schaub (CNRS):  Learning and optimisation for 3D+t super-resolution in fluorescent microscopy. PhD thesis. After: PostDoc at Imaging Centre of EPFL, CH.

Research engineers

• Wessim Omezzine (July-October 2024), co-supervision with L. Blanc-Féraud (CNRS) and S. Schaub (LBDV), Stochastic fluorescence fluctuations modelling via Markov models.

Master students

• Alberto Cozzani (March-June 2026), co-supervision with G. Meanti (UniGe), L. Blanc-Féraud (CNRS), Flow matching for super-resolution fluctuation microscopy.

• Eliot Guez (January-June 2026), co-supervision with N. Buskulic (UniGe), Deep implict regularisation for blind imaging inverse problems.

• Jacopo Betti (October 2025-February 2026), co-supervision with I. Farabella (IIT), 3D Single-molecule localization microscopy for genomic data.

• Sofia Agostoni (April-September 2025), Learned regularisation for image reconstruction in image scanning microscopy.

• Joseph Arnold (March-August 2025-), Convergent plug and play approaches for blind inverse problems.

• Christian Daniele (June-October 2024), co-supervision with S. Vaiter (CNRS) and S. Villa (University of Genoa), Deep equilibrium models for imaging inverse problems.

• Anran Xu (May-October 2024),  co-supervision with L. Blanc-Féraud (CNRS), Neural fields modelling of fluorescence microscopy inverse problems.

• Claudio Fantasia (May-October 2024), co-supervision with X. Descombes (Inria): Patch-based learning of space-variant hyperparameters in variational image restoration.

• Sarah M'Nasri (May-August 2024), co-supervision with L. Blanc-Féraud (CNRS), Generative approaches for super-resolution in MA-TIRF microscopy.

• Hamza Mentagui (April-September 2023), co-supervision with L. Blanc-Féraud (CNRS), Generative approaches for super-resolution in fluorescence microscopy.

• Carlo Santambrogio (March-August 2023), co-supervision with A. Lanza (UniBo), M. Donatelli (UnInsubria), Bilevel optimisation for automatic parameter selection via residual whiteness principle.

• M'hamed Essafri (February-July 2023), co-supervision with E. Soubies (CNRS), Exact continuous relaxations for l_0 norm with general fidelities.

• Sai Muttavarapu (April-September 2022), co-supervision with L. Blanc-Féraud (CNRS), Super-resolution fluorescent microscopy using VAEs.

• Fabio Merizzi (March-August 2022), co-supervision with R. M. Dessì (UCA) and E. L. Piccolomini (UniBo), Deep learning methods for inpainting and text recognition of ancient frescoes.

• Mayeul Cachia (May-November 2021), co-supervision with L. Blanc-Féraud (CNRS) and S. Schaub (CNRS), Super-resolution fluorescent microscopy using GANs.

• Giuseppe Recupero (April-July 2021), co-supervision with S. Parisotto (University of Cambridge), S. Morigi (UniBo), Non-linear diffusion models for image and mesh processing.

• Rim Rekik Dit Nekhili (March-August 2021), co-supervision with X. Descombes (Inria): Space-variant hyperparameter estimation in microscopy inverse problems via deep learning.

• Marta Lazzaretti (March-September 2020), co-supervision with C. Estatico (UniGe): Continuous relaxation of sparse \ell^0 optimisation problems in fluorescence microscopy with Poisson data.

• Gabriele Scrivanti (April-July 2020), co-supervision with A. Achim (UOB), S. Morigi (UniBo): Non-convex super-resolution of OCT images via sparse representation.

• Theo Jolivet (May-August 2019): Continuous optimisation methods for imaging: proximal and forward-backward algorithms.

• Alessia Manenti (April-October 2017), co-supervision with C. Estatico (UniGe): Variational and PDE models for image inpainting.

• Nicola Garibaldi (September 2016-March 2017), co-supervision with C. Estatico (UniGe): Alternating Direction Implicit (ADI) splitting methods for image osmosis models.