Summary
Suzan Verberne is a Full Professor of Natural Language Processing at LIACS with over a decade of experience advancing domain-specific text mining and information retrieval across academia and industry. She leads the Text Mining and Retrieval Leiden group, supervises multiple PhD projects, and coordinates large multi-partner research efforts including H2020 and NWA projects. Her team develops novel representation learning, ranking, and information extraction methods applied to diverse corpora—from archaeological reports and patents to clinical records and patient forums—demonstrating a rare strength in tailoring NLP/IR to specialized domains. Active in the global NLP and IR communities, she routinely chairs major conferences and collaborates with partners such as ING, Wolters Kluwer, Zylab and the Dutch RIVM. Colleagues know her for turning domain challenges into methodological breakthroughs and for bridging rigorous research with practical, cross-sector impacts.
10 years of coding experience
17 years of employment as a software developer
PhD, Natural Language Processing, PhD, Natural Language Processing at Radboud University
Gymnasium, bèta, Gymnasium, bèta at Scholengemeenschap de Grundel
English, Dutch