I graduated in astrophysics (2007) studying the gas dynamics of galaxies with near-infrared spectroscopy. During my Phd in astronomy (2008-2011) I also worked on integral-field spectroscopy, acquiring skills in image analysis as well as strong programming skills, essential throughout my career. My work contributed to high-impact studies, including a Nature paper. This background was key in transitioning to medical and applied physics, especially regarding image analysis. Since 2012 I collaborate with biologists, biochemists and chemists contributing to the modeling and statistics in many experiments using microscopy, spectrofluorimetry, cytofluorimetry, and enzyme assays as well as medical regression analyses. This led to 18 papers ranging from cell biology to food biochemistry, with also the collaboration with a university joint-laboratory now involved in ESA projects. During my specialization in medical physics (2019-2021) I gained expertise in ionizing radiations, medical databases and radiotherapy software. My thesis on breast radiotherapy led to 5 papers. In AOUC–UNIFI projects (since 2019), I developed radiological image analysis algorithms for the detection of low contrast to noise objects and a patented software for lung segmentation in CT images. I also worked on AI and radiomics for medical images interpretation gaining experience in building predictive models. From 2024 I started working on virtual patients that are the future of physical sciences in medicine.