25 years old, based in Minerbe (Verona, Italy). Currently pursuing an MSc in Artificial Intelligence for Science and Technology at the Universities of Milano-Bicocca and Pavia. Former Data Analyst in Dublin, Ireland. Member of Mensa Italy.
My work sits at the intersection of quantitative research, machine learning, and applied economic analysis. I build reproducible pipelines and evaluation frameworks that connect data to context—drawing on statistical foundations, AI methods, and a deep interest in economic history and demography.
Academic background and professional history.
Università degli Studi di Milano-Bicocca & Università degli Studi di Pavia
Focus on machine learning, unsupervised methods, neural architectures, and AI evaluation. Active coursework includes computer vision, statistical learning, and economic applications of AI.
Dublin, Ireland
Hands-on data analysis in a professional setting—building quantitative reports, translating data into actionable decisions, and working in an English-language international environment.
Università degli Studi di Verona
Foundation in statistics, econometrics, microeconomics, and quantitative methods. Final thesis focused on applied demographic analysis.
Languages, tools, and domains of active practice.
What drives my research and thinking.
Long-term analysis of fertility decline, aging populations, and their macroeconomic consequences. I study how demographic dynamics shape labor supply, fiscal sustainability, and investment allocation across different regional trajectories.
Critical evaluation of AI systems beyond benchmark metrics: explainability limits, trust structures, and the gap between measured performance and real-world deployment outcomes in data-driven organizations.
Building analytics pipelines that are transparent, documented, and repeatable. I believe that methodological rigor and clear documentation are as important as the results themselves.