Summary
Francesco Ronzano is an AI Architect and researcher with 11+ years of experience building and deploying NLP and machine learning solutions across academia and industry, currently at AstraZeneca and Universitat Pompeu Fabra in Barcelona. He specializes in extracting structured knowledge from biomedical literature, clinical notes and social media, with hands-on expertise spanning data collection, prototyping, production pipelines and evaluation of generative LLMs for healthcare. Francesco has led projects on domain adaptation, synthetic clinical text generation, automated coding and information retrieval, and has coordinated teams to translate research into regulated, production-ready systems. He holds a PhD in Information Engineering from Università di Pisa and is an author on more than 50 publications, reflecting a long-standing commitment to rigorous applied research. An uncommon strength is his blend of deep academic work on language resources and practical experience operationalizing LLM-based solutions in healthcare contexts.
10 years of coding experience
11 years of employment as a software developer
Ph.D Information engineering, Ph.D Information engineering at Università di Pisa