Researcher in quantitative epidemiology and data science with an interdisciplinary background in statistics, artificial intelligence, and biomedical sciences.
Currently a Postdoctoral Research Fellow at the University of Bologna, working on the development of digital tools for assessing lifestyle, dietary habits, and cardiovascular risk, with applications in clinical and preventive contexts.
He completed his PhD in Biomedical and Neuromotor Sciences (2022–2025), with a project focused on the integration of artificial intelligence and advanced statistical methods for predictive modelling in lifestyle improvement and prevention of non-communicable diseases.
His research activity focuses on the development of predictive models for chronic disease risk, particularly in relation to diet and lifestyle determinants. He has extensive experience in conducting systematic and umbrella reviews in epidemiology, aimed at synthesizing evidence on the associations between dietary patterns, cardiometabolic diseases, and mortality. These efforts support the development of data-driven and evidence-based risk prediction tools.
He also contributes to the design and implementation of digital platforms for health risk assessment, including the co-design of user interfaces and the development of algorithms based on natural language processing to automate and scale the literature review process.
During his doctoral training, he additionally conducted research in comparative biology, applying statistical methodologies to investigate mechanisms underlying Peto’s paradox.
He has international research experience (Norway, Spain, UK) and has contributed to multiple peer-reviewed publications in the fields of nutrition, epidemiology, and biomedical sciences.
