He studied biomedical engineering at Polytechnic University of Turin (Italy). He graduated in 2016 when he obtained his MSc in medical imaging, image processing and analysis, and analysis of biomedical data. Once graduated, after an experience as a software engineer in Turin, he started, in January 2017, his PhD within the Department of Medical Imaging. During his PhD he mainly focused on computational analysis approaches to characterize and optimize tomographic breast imaging methods, to help open the path to a precision medicine approach of breast cancer based on quantitative dedicated breast CT. Specifically, he developed image analysis and machine learning algorithms for automated cancer diagnosis based on quantitative imaging biomarkers, and computerized simulations and models aimed at the development of a new imaging modality for high spatio-temporal resolution perfusion imaging of cancer.