Matteo is an assistant professor investigating adaptive Radiotherapy through automatic segmentation, speeding-up image acquisition/reconstruction and synthesis with the aid of deep learning. Since 2023, next to the research activities, he is also a medical physicist resident.

Background
Matteo is born in Como (Italy) in May 1989 and studied Physics at Insubria University graduating (cum laude) in March 2014. In those years he gained interest in experimental Physics, with a predilection for particle detectors. Following this interest, he had the opportunity to perform profilometry measurements of an anti-proton beam. He also developed a detector for spectral measurements of neutrons produced by an in-hospital linear accelerator.
After getting in touch with the hospital environment and feeling the need of broadening his horizons, he decided to step into the field of medical imaging, where, by chance, detectors are somehow involved. From May 2014 to May 2018 he was enrolled as a PhD candidate at the Radiotherapy Department of the Universitair Medisch Centrum Utrecht (The Netherlands). During his PhD project, he had the luck to discover the beauty of magnetic resonance imaging in the practical realm of radiotherapy.
Until December 2021, Matteo was employed as a post-doc/clinical scientist facilitating the clinical implementation of deep learning methods in the radiotherapy department and ideating/validating approaches for future use, e.g., in the field of data-driven image reconstruction.

In January 2022, Matteo was appointed assistant professor, continuing his clinical support, teaching, and research activities within the radiotherapy department and Computational Imaging group.

Since February 2023, Matteo is also a medical physicist resident, aiming at deepening clinical knowledge and facilitating clinical innovation.

Nowadays, Matteo still enjoys combining research and clinical activities.

• ORCID: https://orcid.org/0000-0003-0347-3375
• Scholar: https://scholar.google.it/citations?user=vIO1i9EAAAAJ&hl=en
• PubMed: https://www.ncbi.nlm.nih.gov/myncbi/1LCg61DsIdlkC/bibliography/public/
• Researchgate: https://www.researchgate.net/profile/Matteo_Maspero
• Publons: https://publons.com/researcher/1216164/matteo-maspero/
• LinkedIn: https://www.linkedin.com/in/matteo-maspero/
• Twitter: https://twitter.com/MatteoMasperoNL
• Personal site: https://matteomaspero.myportfolio.com/
• Thesis