Hosein Mohebbi is a PhD candidate at the Department of Cognitive Science and Artificial Intelligence at Tilburg University, Netherlands. He is part of the InDeep consortium project, doing research on interpretability of deep neural models for text and speech. He completed his Master’s in Artificial Intelligence at Iran University of Science and Technology, where his research revolved around the interpretation of pre-trained language models and the utilization of interpretability techniques to accelerate model inference. His research has been published in leading NLP venues such as ACL, EACL, and EMNLP, where he also regularly serves as a reviewer. He received an Outstanding Paper Award at EMNLP 2023. His contribution to the Computational Linguistics community extends to co-organizing BlackboxNLP (2023, 2024), a popular workshop focusing on analyzing and interpreting neural networks for NLP, and offering a tutorial on ‘Transformer-specific Interpretability’ at EACL 2024 conference in Malta.