I’m a biomedical engineer and Senior Researcher at the Institute of Biomedical Technologies of the National Research Council of Italy (ITB‑CNR), where I have been working since 2019. I obtained the degree in Biomedical Engineering from the Politecnico di Milano and the PhD in Biomedical Technologies from the Università di Milano Bicocca. My research focuses on advanced medical image processing and quantitative analysis of CT and MRI data, with particular emphasis on oncologic applications. My work encompasses image registration, segmentation, and the extraction of high‑dimensional quantitative imaging descriptors (radiomics) to support data‑driven models for disease diagnosis, prognosis, and treatment response assessment. More recently, I have expanded my expertise to include artificial intelligence methodologies, with a specific interest in deep learning and uncertainty quantification for robust medical image segmentation and processing. I’m author/co-authors of various scientific publications on peer-reviewed international journals. I have active collaborations with national and international research and clinical institutes, including Università di Bergamo, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Politecnico di Milano, Università di Pavia, Chalmers University (Sweden), CINVESTAV (Mexico), University of Nottingham (UK), Cornell University (USA)
Research Activities
Processing and analysis of medical images to identify quantitative image-based biomarkers (radiomics), supporting tissue characterization and data-driven predictive models.
Development of deep learning algorithms for medical image segmentation, with a focus on uncertainty quantification and robustness assessment.
Application of advanced statistical methods, machine learning, deep learning, explainable AI (XAI), and data mining for predicting pathological mechanisms, identifying disease biomarkers and supporting patient stratification.
