Roberto Fontana

Roberto Fontana is a Full Professor at the Department of Mathematical Sciences (DISMA) of the Polytechnic University of Turin. He is a member of the Interdepartmental Centre R3C (Responsible Risk Resilience Centre) and actively involved in the College of Management and Production Engineering and the Planning and Design Board. His research focuses on algebraic statistics, experimental design, industrial statistics, and multivariate statistics, with an emphasis on statistical analysis of physical and computer experiments.

Fontana holds leadership roles in academic societies, including being an Effective Member of ERCIM (European Research Consortium for Informatics and Mathematics), ENBIS (European Network for Business and Industrial Statistics), and SIS (Italian Statistical Society). He serves as an Associate Editor for the Journal of Applied Statistics since 2017. His teaching spans multiple levels, including PhD courses on statistical modeling and machine learning, as well as undergraduate and graduate courses in statistics across disciplines like Management Engineering and Territorial Planning.

He leads the ELBA project (2019–2022), establishing training centers for Intelligent Big Data analysis. Fontana’s recent publications emphasize advancements in contingency tables, Bernoulli distributions, and the integration of design of experiments with machine learning. He currently supervises PhD student Davide Ronco in the Mathematical Sciences program.

His work bridges theoretical statistics with industrial applications, emphasizing robust experimental design and computational methods. Fontana actively collaborates on interdisciplinary projects, including environmental and material science applications.