Fabrizio Ruggeri

Fabrizio Ruggeri is a Senior Fellow of the Italian National Research Council. He also had various international appointments, including Adjunct Professor at Queensland University of Technology (Brisbane, Australia), International Professor Affiliate at Polytechnic Institute (New York University, USA), Chair of Excellence at Universidad Carlos III and ICMAT-CSIC (Madrid, Spain) and Faculty of the Ph.D. programme in Statistics at the Universidad de Valparaiso (Chile). He is currently the President-Elect of the International Statistical Institute (ISI) for the 2023-2025 term, after which he will serve as President from 2025 to 2027. He has been President of ENBIS (European Network for Business and Industrial Statistics), ISBA (International Society for Bayesian Analysis) and ISBIS (International Society for Business and Industrial Statistics), and ISI Vice President. He is a Fellow of IMS (Institute of Mathematical Statistics), ASA (American Statistical Association) and ISBA (which also awarded him the first Zellner Medal), and ENBIS Honorary Member. Fabrizio is past Editor-in-Chief of Applied Stochastic Models in Business and Industry (2007-24) and currently of Wiley StatsRef, an online encyclopedia. He is author of over 200 articles (including 130 in refereed journals) and author/editor of 6 books.

Most of my research is in the field of Bayesian Statistics, with a particular emphasis on robustness and inference for stochastic processes, especially when applied to industrial problems. I work also a lot on the use of tools from descriptive statistics, stemming from the Lorenz curve, to analyse possible anomalies in populations, like possible fraudsters in a population of medical doctors. Recently I started working in the field of Adversarial Risk Analysis, especially in classification under possible attacks, using tools from Bayesian Statistics and Decision Analysis. I consider myself a stochastic modeler and I love it: starting (often) from practical problems, the search for a model, preferably with some innovation, is challenging and stimulating. Also the application of mathematical methods gives a lot of satisfaction to a mathematical statistician like me!