Think Tank Group

Agnese Panzera is associate professor of Statistics at DiSIA, University of Florence. Her main research interests concern nonparametric methods for directional data and graphical models for angular variables.

Alberto Cassese is an RTD-B (Assistant professor with tenure) of Statistics at DiSIA, University of Florence. His academic journey includes roles at institutions such as Rice University and Maastricht University. Alberto is dedicated to innovative statistical methodologies, driven by their practical applications in real-world scenarios. His research expertise encompasses several topics, spanning high-dimensional complex data (including -omics data), behavioral data, flu data and mass-spectrometry data.

Anna Gottard is associate professor of Statistics at DiSIA, University of Florence and Director of the Florence Center for Data Science. She serves as associate editor for the Journal of the Royal Statistical Society - Series A and for Statistical Methods & Applications. Her current research interest concerns fair/interpretable statistical machine learning, tree-embedded models, graphical models, mixture models under latent uncertainty and multivariate models for angles and directional data.

Daniele Castellana is an RTD-A (Research Fellow) of Computer Science at DiSIA, University of Florence. Previously, he was a researcher at the University of Pisa, where he also obtained his PhD. His main research area is Machine Learning, with emphasis on complex data (such as graphs) and probabilistic approaches.

Giorgio Ricchiuti is an Associate Professor in Political Economy at the Department of Economics and Management of the University of Florence (Italy) where he teaches Macroeconomics and Computational Economics. Since the beginning of 2016, he is also fellow of the Complexity Lab in Economics (CLE) at Catholic University in Milan.His research is focused on both empirical and theoretical analysis in International and Industrial Economics, with a focus on Computational Economics. The empirical research - within NNTT empirical literature - has been regarding on how different modes of internationalization - mainly FDI - affect productivity, sales and firms’ survival probability. While in theoretical analysis, he has been focusing on dynamic models with heterogeneous agents and bounded rationality in financial markets (within the HAMs literature), on the market structure when the demand is unknown, and new sources of heterogeneity (credit/liquidity constraints) among firms with different modes of internationalization.