Giorgio is a statistician working in the field of real-world data and pharmacoepidemiology. He is currently a Post-Doctoral researcher at the Plateforme Bordeaux PharmacoEpi, where he contributes to statistical analyses and methodological development within the REMIND project on drug repurposing for Alzheimer’s disease. He completed his PhD in Statistics at the University of Florence in March 2025, working on methodological challenges in epidemiological research based on electronic healthcare databases. Over the past five years, he has worked as a research fellow at the University of Pisa, the University of Florence, and the Regional Health Agency of Tuscany, collaborating on national and European pharmacoepidemiological studies. During this period, he also taught medical statistics at the undergraduate level at the University of Florence. His research focuses on methodological challenges in the analysis of routinely collected healthcare data, particularly outcome misclassification, validation studies, and medication use during pregnancy. Within this work, he also designs and implements machine learning models for pharmacoepidemiological research, using large healthcare databases to study drug utilization and safety in pregnancy. He has also applied machine learning methods in environmental health, building predictive models to generate high-resolution spatio-temporal estimates of air temperature and urban heat islands in Tuscany.