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.
M.Sc. Artificial Intelligence
University of Amsterdam
M.Sc. Cognitive Neuroscience
Graduate Center, City University of New York
B.Sc. IT-Systems Engineering
Hasso-Plattner-Institut, Potsdam