Graduated in 2012 in Computer Science from the University of “Tor Vergata” in Rome, in the same year he began working at the Ugo Bordoni Foundation, focusing on big data architectures, distributed computing, streaming systems, sentiment analysis, and information retrieval.
Subsequently, he took part in projects carried out within the framework of the “Big Data Laboratory” of the Ministry of Economic Development, conducting research activities on social graphs and data mining on large-scale datasets.
Since 2016, he has repeatedly served as a tutor for the course “Architectures, Systems and Algorithms for Big Data Computing”, held within the second-level master’s program “Big Data in Business” at the University of “Tor Vergata” in Rome.
Currently, his scientific interests concern the field of Artificial Intelligence and Machine Learning applied to the analysis of large volumes of data.
He is the author of several scientific papers presented at national and international conferences.