معرفی
Paola Cerchiello is a Full Professor of Statistics at the University of Pavia, Italy. She specializes in integrating machine learning and statistical methodologies into financial risk assessment, ESG analysis, and healthcare management. Her research focuses on topics such as credit risk modeling, cryptocurrency dynamics, greenwashing detection, and the socio-economic impacts of pandemics. She leads the PERISCOPE European project (2020–2023), assessing pandemic impacts, and co-leads the xAIM initiative (2021–2024), developing AI-driven healthcare management programs.
Her teaching includes 'Big Data Analysis' in the Master in International Business and Management (MIBE) and 'Machine Learning' at the University of Pavia. She has contributed to over 100 publications since 2009, emphasizing Bayesian models, network analysis, and text mining in finance and public policy. Notable projects include developing tools for real-time pandemic monitoring (PERISCOPE Atlas) and analyzing systemic risk in banking systems through network modeling.
Her work bridges academic research with practical applications, addressing global challenges in financial stability, environmental sustainability, and healthcare equity. She collaborates extensively with European institutions on projects like the EU Health Emergency Response Authority impact assessment and anti-corruption compliance frameworks in public administration.
