Summary
Francesco Ronzano is a seasoned AI Architect based in Barcelona with about a decade of experience turning academic ML/NLP research into production-grade solutions for healthcare and scientific text analysis. He currently leads AI architecture at AstraZeneca, building scalable systems for clinical text coding, information extraction, and the deployment of generative LLMs in biomedical contexts. Previously at IQVIA NLP and Linguamatics, he specialized in automated coding of clinical texts, active learning for biomedical information extraction, synthetic data generation, and zero-shot knowledge extraction with large language models. As a UPF researcher, he focuses on information extraction and text summarization for scientific publishing data and social media, with applications to EHR analysis and health-related social media mining. With over 50 publications and a broad track record across academia, clinical data, and social media analytics, he combines rigorous research with hands-on engineering to deliver end-to-end NLP deployments.
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