Paolo Giudici

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Paolo Giudici is a data scientist and professor of statistics at the University of Pavia. His research focuses on statistical learning methods to obtain data driven predictions and risk measures in economics, finance and fintech innovations.

Paolo Giudici
March 23, 1965 Sondrio, Italy
Bocconi University, Italy, M.Sci. Economics, 1989
University of Minnesota, USA, M.Sci. Statistics, 1990
University of Trento, Italy, Phd Statistics, 1994
Statistics; Machine learning; Finance
University of Pavia (1994-Present)
Top Italian Scientist in Mathematics [1]

Education and career

Paolo Giudici, born in Valtellina, earned a master's degree in economics from Bocconi University in 1989, a master's degree in statistics from the University of Minnesota in 1990 and a doctorate in statistics from the University of Trento in 1994. He became assistant professor of statistics at the University of Pavia in 1994.

After visiting periods at the University of Bristol, at the University of Cambridge and at the Fields Institute, funded by the European Science Foundation, in 2007 he became full professor of statistics. He has been lecturer of statistics, data science, financial risk management and machine learning classes and has supervised 18 PhD students and 13 post doc researchers within the statistical laboratory of the department of economics and management of the University of Pavia. He is editorial board member of the scientific journals, Risks and Frontiers in Artificial Intelligence.

Research interests

The research activity of Paolo Giudici has developed at the interplay between the academia and the financial industry. He is an elected member of the International Statistical Institute[2] and an executive member of the Italian statistical society[3]. He has been research and training expert for the Bank for International Settlements[4], the European Commission[5], the European University Institute[6], the European Insurance and Occupational Pensions Authority[7], the Centre for European Policy Studies[8], the Bank of Italy[9], the Associazione Bancaria Italiana[10], the Italian National Institute of Statistics[11], the Ministry of Economic Development (Italy)[12]. He has served as an independent board member of Credito Valtellinese from 2010 to 2018[13].

He has been coordinator and principal investigator of several industrial projects and of 12 competitive scientific projects, among which the European Horizon 2020 projects FIN-TECH (2018-2021)[14], PERISCOPE (2020-2023)[15] and the CARIPLO Foundation cultural heritage project "ANTICA PIEVE DI MAZZO” (2006-2010)[16]. He has also coordinated the Pavia unit of the European VI framework project MUSING[17]. He is a research fellow at the University College of London Blockchain centre[18].

Notable pubblications

Research stream 1: Structural learning in high dimensional models

Research stream 2: Statistical learning in business and industry

Research stream 3: Explainable machine learning in economics and finance

Awards and honours


  1. Top Italian Scientist in Mathematics
  2. ISI Membership Elections 2022: Third round results
  3. Società Italiana di Statistica
  4. Press release: BIS Innovation Hub and Bank of Italy announce shortlist and judges for the G20 green and sustainable finance challenge
  5. Model: UNIPV-BayesINGARCHX - Zoltar
  6. FBF will host a workshop on Artificial intelligence and Machine Learning in finance - Florence School of Banking and Finance
  7. EIOPA establishes Consultative Expert Group on Digital Ethics in Insurance
  8. Monitoring Covid-19 contagion growth in Europe – CEPS
  9. Bank of Italy - FinTech Milano Hub: Call for Proposals 2021 - list of selected projects
  10. Relatori 2021 - Supervision, Risks & Profitability
  11. I gruppi sociali nel Rapporto Istat 2017
  12. Intelligenza artificiale e blockchain: Prof. Paolo Giudici UniPV selezionato tra gli esperti dal Ministero dello Sviluppo Economico
  13. assemblea dei soci del credito valtellinese assemblea dei soci del
  14. A FINancial supervision and TECHnology compliance training programme - CORDIS - European Commission
  15. Pan-European Response to the ImpactS of COVID-19 and future Pandemics and Epidemics - CORDIS - European Commission
  16. Progetto “Circuito Antica Pieve di Mazzo”. Se ne discute domenica alla Campionaria di Milano - TELLUS folio - stampa
  17. MUlti-Industry, Semantic-based Next Generation Business INtelliGence - CORDIS - European Commission
  18. Associates | UCL Blockchain
  19. XVII Legislatura - XVII Legislatura - Comunicazione - Archivio di Prima Pagina - Audizione su tecnologia finanziaria
  20. EFMA 2016 Conference Awards
  21. Organi Sociali -
  22. Statistical Models for Data Mining
  23. Data mining of association structures to model consumer behaviour