Summary
Umberto Biccari is a researcher in applied and computational mathematics with a PhD from the University of the Basque Country and nine years of experience spanning academia and industry, currently leading computational mathematics research at the University of Deusto. His work bridges control theory, optimal control and PDE analysis with practical ML and AI applications, including a recent industry role focused on federated learning at Sherpa.ai. He has taught PhD-level courses, led multidisciplinary international teams, and holds certified project management experience that complements his technical research. Skilled in scientific computing and optimization software, he brings a rare combination of deep theoretical expertise (nonlocal operators, singular potentials, degenerate coefficients) and hands-on ML systems experience. Fluent in Italian, English and Spanish, he is based in Bilbao and often blends rigorous analysis with applied, deployment-minded solutions.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD) Applied Mathematics, Doctor of Philosophy (PhD) Applied Mathematics at Universidad del País Vasco and BCAM - Basque Center for Applied Mathematics
Master's degree Applied mathematics, Master's degree Applied mathematics at Università degli Studi di Firenze
Attendance to the VI Modelling Week Mathematical modelling, Attendance to the VI Modelling Week Mathematical modelling at Universidad Complutense de Madrid
Italian, English, French, Spanish