Alessandra Caputo joined CSIL in 2017 after an internship at the OECD. She specialises in statistic and econometric analysis and is an expert in the management of big data. She combines machine learning and automated data mining techniques with methodological rigour and solid expertise in EU policies.
She is experienced in many types of data processing such as cost-benefit analysis, counterfactual analysis, network and cluster analysis, and patent and company data analysis.
Alessandra is a PhD fellow in Quantitative Methods for Policy Evaluation (University of Macerata, Italy). She holds a BSc and an MSc in Economics from Bocconi University.