Matteo Iacopini

Matteo Iacopini is a Research Fellow in Economics at Ca' Foscari University of Venice, specializing in Bayesian statistics with applications to complex data structures. His methodological research develops tensor-based approaches for multidimensional data analysis, dynamic network modeling, and functional data interpretation. Current projects focus on hierarchical models, Bayesian nonparametrics, and constrained functional time series.

He has created computational tools for distribution visualization (Half-Disk Density Strips) and tensor regression (ZIL-T-MS), published in applied statistics and machine learning venues.