Federico Borazio

PhD Student - Department of Enterprise Engineering / University of Rome Tor Vergata

Federico Borazio is a PhD candidate in the Data Science program at the University of Rome Tor Vergata , where he is a member of the SAG Art research group. His doctoral research is supervised by Roberto Basili and Danilo Croce.

His main research interests include Large Language Models fine-tuning and adaptation for downstream and knowledge-intensive tasks, question answering in the biomedical domain, retrieval-augmented generation, and multimodal dialogue systems. He has contributed to projects on LLM benchmarking, human-robot interaction, and AI applications for epidemic intelligence, publishing in venues such as ACL Findings, ECIR, LREC-COLING, and the Italian Journal of Computational Linguistics.

He is also part of the CALAMITA Data and Evaluation Team, contributing to the benchmarking of Large Language Models on native Italian tasks.

In addition to his academic work, he collaborates with Reveal S.r.l., an industry partner focused on AI and NLP driven solutions.

Currently, he is an Applied Scientist Intern at Amazon in Los Angeles, working on LLM experimentation and neural retrieval for local search projects with the Alexa Local Search team supervised by Alessandro Moschitti.