"We make AI and NLP tools accessible, explainable, reusable, adaptable, and inclusive—deepening understanding of human behavior."
Ayoub Bagheri is an Associate Professor of Natural Language Processing (NLP) in the Department of Methodology and Statistics at Utrecht University. His research interests lie in fundamental and applied NLP, particularly in areas such as bias detection, explainability, and language model evaluation.
Research interests:
- Explainable and Trustworthy AI
Developing methods to make NLP models transparent, interpretable, and accountable in high-stakes applications. Personalized and Adaptive NLP Systems
Investigating how AI systems can align with individual user needs, cultural backgrounds, and cognitive styles.Language Model Evaluation and Robustness
Designing benchmarks and methodologies to assess generalization, fairness, and stability of large language models.Multimodal and Cross-linguistic Language Understanding
Exploring how language models can reason over text, speech, and visual input across diverse languages and dialects.Human-Centered and Ethical NLP
Bridging computational modeling with human behavior and values, aiming for inclusive and socially responsible AI.
Ayoub leads the Natural Language and Text Processing (NLTP) lab at M&S.
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