Tutorials

• “Interpretability Techniques for Speech Models” at Interspeech 2025 conference, in Rotterdam. [materials]
• Hands-on tutorial on “NLP & LLMs” for Dutch school students participating in the Olympiad in Artificial Intelligence (IOAI 2025).
• A series of short educational videos on how to open the Black Box of Large Language Models:
  • Why it is crucial to track how Transformers mix information? [YouTube]
  • How to best measure context-mixing in Transformers? [YouTube]
• “Transformer-specific Interpretability”, at EACL 2024 conference, in Malta. [materials]

Invited Talks

• Apr 2024: CLILLAC-ARP, Université Paris Cité, Online
• Mar 2024: TeIAS, Online
• Feb 2024: CardiffNLP, Cardiff University
• Feb 2024: CSTR, University of Edinburgh
• Jun 2023: GroNLP, University of Groningen
• Jun 2021: Cambridge/Cardiff Workshop in Natural Language Processing, Online

Co-lectures

• Winter 2023, 2024: Machine Learning, Tilburg University
• Winter 2023, 2024: Methods for Responsible AI, Tilburg University

Guest Lectures

• May 2023: “Introduction to Transformers”, undergraduate Computational Linguistic course at Tilburg University
• Sep 2022: “Interpretability of Transformers”, graduate Advanced Deep Learning course at Tilburg University
• May 2021: “Analysis & Interpretability in NLP”, jointly presented with Ali Modarressi, graduate NLP course at Khatam University [slides]

Teaching Assistant

• Winter 2021: Natural Language Processing, Khatam University [webpage]
• 2017-2019: Artificial Intelligence and Expert Systems, Ferdowsi University
• 2016-2019: Computer Architecture, Ferdowsi University
• 2016-2017: Data Structures and Algorithms, Ferdowsi University
• 2016-2019: Basics of Computer Programming and Algorithms, Ferdowsi University

Students Co-supervised

• 2024: Hamidreza Amirzadeh. MS. Topic: Interpretability (published at BlackboxNLP 2024)
• 2021: Mohsen Fayyaz, Ehsan Aghazadeh. BS. Topic: Interpretability (published at BlackboxNLP 2021)