Summary
Gabriele Tolomei is an Associate Professor of Computer Science at Sapienza University of Rome with 8+ years of academic and industry experience bridging machine learning, information retrieval, web mining and online advertising. His work spans large-scale data analysis, predictive modeling and production-grade solutions—at Yahoo he designed deployed methods for accidental ad-click detection and ad quality scoring, and earlier research produced task-based search models with best-in-class improvements. Trained with a PhD focused on shifting search from document retrieval to task execution, he combines rigorous empirical evaluation (including A/B testing) with practical ETL and feature engineering in Hadoop/Python/R ecosystems. He has a track record of publishing in top venues and translating research into product impact, uniquely fluent across research, engineering and advertiser-facing metrics. Based in Rome, he brings deep domain expertise in turning high-volume web signals into actionable systems that balance revenue and long-term user or advertiser satisfaction.
8 years of coding experience
11 years of employment as a software developer
Ph.D., Computer Science, Ph.D., Computer Science at Università Ca' Foscari di Venezia
B.Sc., Computer Science, B.Sc., Computer Science at Università di Pisa / University of Pisa
Italian, English