Summary
Massimo Poesio is a professor of Natural Language Understanding with a career spanning academic appointments at Utrecht, Queen Mary, Essex and Trento and over three decades of research in computational linguistics and cognitive science. He focuses on language processing—spoken and written—with deep expertise in semantic interpretation, anaphora/coreference, dialogue systems and the integration of commonsense and brain data into NLP. His work blends theoretical rigor and practical annotation methods, including games-with-a-purpose for large-scale data collection, and extends to applied topics like deception detection. Based in Colchester, UK, he combines long-standing research leadership with hands-on computational work, mentoring generations of researchers while continuing to explore how human cognitive insights can improve language technologies.
8 years of coding experience
3 years of employment as a software developer
PhD in Computer Science, Computational Linguistics / Natural Language Processing, PhD in Computer Science, Computational Linguistics / Natural Language Processing at University of Rochester
Laurea, Computer Science, Laurea, Computer Science at Università degli Studi di Torino