Research-driven technologist with a solid foundation in Statistical and Economic Sciences, currently specializing in Artificial Intelligence for Science and Technology at the Universities of Milano-Bicocca and Pavia.
Personal background, research interests, and working method.
I am Giovanni Mantovani, 25 years old, based in Minerbe (Verona, Italy). I have a strong background in Statistical and Economic Sciences and I am currently specializing in Artificial Intelligence for Science and Technology at the Universities of Milano-Bicocca and Pavia.
My professional experience includes a Data Analyst role in Ireland, where I developed hands-on skills in data analysis and in translating quantitative evidence into practical decisions.
I combine technical work with a strong interest in economic history and economic geography, which I consider essential to interpret global dynamics. I am a member of Mensa Italy and actively participate in international exchanges of ideas.
In recent years, I have consistently deepened my work on the demographic crisis, analyzing fertility decline drivers and their impact on global economic balances in the short and medium term.
My method is research-driven: I build reproducible analytics pipelines and AI evaluation frameworks that are robust, contextualized, and reliable. I strongly believe that interpreting data requires a deep understanding of the historical and geographical context in which that data is produced.
Core tools and domains of active practice.
Selected work with measurable outcomes and formal documentation.
Research notes, technical deep dives, and reflections on process.