teaching

courses

I am assisting Herbert Jaeger in his courses Neural Networks for AI (B.Sc.) and Machine Learning (M.Sc.) at the University of Groningen. See here for more details.

I also served as a TA for the PhD-level Spring School on Control Theory and Reinforcement Learning: Connections and Challenges, where I gave a tutorial on function approximation for RL.

supervision

• Aksel Reedi: Multi-agent LLM-debate (B.Sc. in AI, Poster at NeurIPS25 multiturn LLM workshop).
• Elisa Klunder: Test-time Compute (B.Sc. in AI, ongoing).
• Brian Bruggen: Design of open-ended RL environment (B.Sc. in AI).
• Joris Peters: Conceptor-based clustering of recurrent neural network dynamics (B.Sc. in AI). 2023.
• Satchit Chatterji (co-supervised with Steven Abreu): Cut the Carp! Using Context to Disambiguate Similar Signals Using Conceptors (B.Sc. in AI). August 2022.
• Daniel Woonings (co-supervised with Steven Abreu): On Conceptor Control in Continuous Time (B.Sc. in AI). September 2022.
• Ryan O’Loughlin (co-supervised with Steven Abreu, Thomas Tiotto, and Marleen Schippers): Learning Rules and Topologies for Liquid State Machines - A Survey in Terms of Performance and Representation Dynamics for Abstract, Image, and Speech Recognition (M.Sc. in AI). September 2022.

workshops & outreach

Co-organizer of a 48-hour workshop to recruit students at Arts et Métiers, focusing on the design and production of a 3D printed foot prosthesis inspired by work at the Bio-mechanics Institute Georges Charpak. Managed and assisted 4 groups of 5 students each.