معرفی
Dr. Pablo Mosteiro Romero is an Assistant Professor at Utrecht University's Faculty of Social and Behavioural Sciences within the Department of Methodology and Statistics. His work bridges Natural Language Processing (NLP), Applied Data Science, and Human-centered Artificial Intelligence, focusing on language change, morphology-syntax trade-offs, and applications in healthcare and open societies.
Education:
- B.Sc. in Physics, Rutgers University (Summa Cum Laude, 2007)
- Ph.D. in Computer Science, Princeton University (2014, Centennial Fellowship)
Research Interests revolve around computational linguistics, information-theoretic approaches to linguistics, and ethical AI. He investigates synonym evolution, morphosyntactic interactions, and fairness in mental health-focused AI systems. Recent work includes de-identification in medical texts and taxonomy induction via reinforcement learning.
Publications span top venues like ACL, IEEE, and Springer, covering topics such as topic modeling interpretability, bias discovery in ML, and multimodal negation processing. Collaborations with colleagues like Scheepers, Spruit, and Kaymak highlight interdisciplinary applications in electronic health records.
Awards include the Centennial Fellowship at Princeton and Summa Cum Laude at Rutgers.
As a University Teaching Qualification holder, he teaches courses in data science, Python programming, and research methods, supervising theses in AI and Business Informatics. His work aligns with Utrecht's Institutions for Open Societies (IOS) theme, addressing gender diversity and global justice in data-driven systems.
