I am a PhD Candidate at the Max Planck Research Group Vision and Computational Cognition supervised by Martin Hebart.
My work primarily focuses on representation learning in humans and machines. I combine computational modeling and machine learning with insights from cognitive science to understand the similarities and differences between human and artificial systems. I mostly work on vision, but also use insights from language and other domains.
I am particularly interested in interpretable alignment of representations and how to use insights from cognitive science to improve machine learning models and vice versa. If you are interested in collaborating, feel free to reach out.