Summary
Giorgio Visani is a data scientist and postdoctoral researcher with eight years of experience building explainable, reliable ML solutions for regulated industries and enterprise products. He blends theoretical rigor from a PhD in Data Science and visiting research in statistics and causality with hands-on engineering, producing frameworks for XAI, synthetic data generation/validation, and advanced prediction models. At CRIF and in academia he led small R&D teams to deliver compliant, production-ready analytics, and he currently applies those skills within Unipol Group while teaching advanced ML courses for industry. He has a strong statistical foundation (110/110 cum laude MSc and BSc) and a practical bent—evaluating synthetic data for business viability is a recurring focus of his work.
8 years of coding experience
5 years of employment as a software developer
The University of Sydney
Visiting PhD period, Computer Science, Causality, Visiting PhD period, Computer Science, Causality at Université libre de Bruxelles
PhD in Data Science, PhD in Data Science at Alma Mater Studiorum - Università di Bologna
English, Italian, French