I’m an independent researcher working on Mechanistic Interpretability for LLMs. I was a MATS scholar and worked with Alex Makelov and Neel Nanda on Sparse Autoencoders and Distributed Alignment Search for feature detection and subspace activation patching. Previously, I was a MSc AI student at the University of Amsterdam, where I worked on brain-like interpretable spatiotemporal Computer Vision models, supervised by Prof Iris Groen and Amber Brands.

Further, I was a graduate student at the Graduate Center, CUNY, where I worked on Reinforcement Learning, Decision Making, and Reward Sensitization and conducted fiber photometry experiments in the Nucleus Accumbens of mice, supervised by Prof Jeff Beeler.