Borra Simone

Simone Borra is an Associate Professor in the Department of Statistics at the University of Rome Tor Vergata, affiliated with the Faculty of Economics and Law. His research focuses on Machine Learning, Nonparametric Methods, Applied Statistics, Big Data Analytics, and Management Consultancy Analysis. He teaches courses such as Business Analytics (Master’s), Big Data Analytics (Bachelor), and Statistical Methods for Management (Master’s). His work bridges statistical methodologies with practical applications in environmental science, public administration, and business strategy.

Research interests include developing advanced classification techniques, remote sensing applications using satellite data (e.g., Sentinel), and analyzing socio-economic phenomena through statistical modeling. Recent studies explore solar power plant identification via CNNs and vegetation monitoring using spectral bands. He also investigates industry trends in management consulting and public procurement practices in Italy.

His publications span over two decades, with notable contributions to survey methodology, neural network performance evaluation, and multilevel modeling. While no scientific awards are explicitly mentioned, his extensive academic output reflects sustained contributions to statistical science and its interdisciplinary applications.

In advising and grants, Borra has not listed formal advisees but contributes to educational activities through course leadership. His work on public administration contracting and consultancy sector reports highlights engagement with policy-relevant research.