Paola Cerchiello is Associate Professor of Statistics at the Department of Economics and Management of the University of Pavia. She got BS in Economics at the University of Pavia in 2002 (degree with Honors), Degree IUSS (Scuola Universitaria Superiore Pavia) in 2002 and PhD in Statistics, University Milan-Bicocca, 2006.
She teaches Basics of Coding and Big Data Analysis within Master Degree in International Business and Management (MIBE) at Unipv,

Senior Data Scientist at Fintech Lab where she carries out research and consulting projects for leading institutions such as the European Union, the Italian Ministry of Research, Cariplo Foundation, the Italian Banking Association, Intesa San Paolo, Mediolanum, Credito Valtellinese, Istituto Credito Sportivo, KPMG, Mediaset, SAS Institute, Sky. She is member of research groups on Big Data at the Bank of Italy and at the Deutche Bundesbank.
Her research activity is mainly devoted to the study of statistical models for unstructured and complex data in economics and finance. From an applied viewpoint, she focuses on text data analysis, systemic risk, reputational risk, initial coin offerings, cyber risk, sentiment analysis and deep learning. She has published around 40 papers in scientific international journals, 11 in A-level journals and has an H-index of 11 (calculated by Google scholar).