Projects
Frameworks, empirical programs, and collaborations across Human–AI interaction, education, healthcare, Medical AI, and responsible AI evaluation.
Research program on the multidimensional evaluation of conversational AI, spanning the published conceptual framework, operationalization, assessment-instrument development, methodological and psychometric validation, empirical evaluation, platform development, and international collaboration.
Development, validation, and application of a multidimensional framework and interactive assessment interface for evaluating methodological quality, transparency, robustness, explainability, ethics, usability, and translational readiness in Medical AI research.
Design and evaluation of structured Human–AI collaboration protocols involving Large Language Models, focusing on interaction quality, calibrated reliance, critical thinking, cognitive engagement, learning outcomes, and responsible AI adoption.
Research on regulatory traceability, transparency, governance, and lifecycle monitoring of AI-enabled medical technologies, connecting public regulatory evidence with responsible Medical AI deployment.
Co-scientific lead for the University of Milano-Bicocca component of an international Space Medicine and AI initiative on Spaceflight Associated Neuro-Ocular Syndrome (SANS).
Research on multimodal clinical data, patient stratification, predictive modelling, decision support, and personalized care in dementia, Parkinson’s disease, and related neurodegenerative conditions.
Methodological research on abstention and selective prediction, focusing on structured comparison, evaluation criteria, and reliable model behavior under uncertainty.