Simone Borra

Simone Borra is an Associate Professor at the University of Rome Tor Vergata, specializing in Statistics (SECS-S/01). He teaches courses in Big Data Analytics, Business Analytics, and Statistical Methods for Management at both bachelor's and master's levels. His research focuses on machine learning, non-parametric methods, and applied statistics, with applications in public administration evaluation, environmental science, and management consulting.

• Current courses: BIG DATA ANALYTICS, BUSINESS ANALYTICS, METODI STATISTICI PER IL MANAGEMENT
• Office hours: Thursdays 14:00-15:30 in Room P3 SB5
• Contact: borra@economia.uniroma2.it

His research interests include statistical methodologies for economic and social sciences, data mining, and the application of neural networks. He has published extensively on topics such as credit scoring models, survey methodology, and remote sensing for environmental monitoring. Recent work includes analyses of solar power plant detection using Sentinel data and studies on management consulting trends in Italy.

Notable contributions span academic publications in computational statistics, multilevel modeling, and the evaluation of public administration contracts. His work bridges theoretical statistical methods with practical applications in business, environmental science, and public policy.