Paolo Giudici is an Italian 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. 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 an assistant professor of statistics at the University of Pavia in 1994. After visiting periods at the University of Bristol, the University of Cambridge, and the Fields Institute, funded by the European Science Foundation, in 2007 he became a full professor of statistics. He has been a lecturer of statistics, data science, financial risk management, and machine learning classes and has supervised several Ph.D. students and postdoc researchers within the statistical laboratory of the department of economics and management of the University of Pavia. He is an editorial board member of the scientific journals Fintech, Risks, and Frontiers in Artificial Intelligence. He is a research fellow of the University College of London Blockchain centre, and a Top Italian Scientists The research activity of Paolo Giudici has developed the interplay between academia and the financial industry. He is an elected member of the International Statistical Institute and an executive member of the Italian statistical society. He has received a prize for the best 2016 risk management paper from the Global Association of Risk Professionals and he is an honorary member of the Italian financial industry risk managers association. He has been a research and training expert for the Bank for International Settlements, ,the European Commission, the European University Institute, the European Insurance and Occupational Pensions Authority, the Centre for European Policy Studies, the Bank of Italy, the Deutsche Bundesbank, the Associazione Bancaria Italiana, the Italian National Institute of Statistics, the Ministry of Economic Development (Italy). He has served as an independent board member of Credito Valtellinese from 2010 to 2018. He has been the 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) and PERISCOPE (2020-2023), and the CARIPLO Foundation cultural heritage project "ANTICA PIEVE DI MAZZO” (2006-2010). Selected books Giudici, Paolo (2003). Applied data mining : statistical methods for business and industry. New York: J. Wiley. ISBN