I am a PhD Candidate at the Max Planck Research Group Vision and Computational Cognition supervised by Martin Hebart. I am also a guest researcher at the Neural Coding Lab and co-supervised by Umut Güçlü.

Research Interests

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. I am working on a couple of projects on the intersection of these fields. If you are interested in collaborating, feel free to reach out.

Selected Publications

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Academic Background

2018 – 2021

MSc in Artificial Intelligence

Radboud University

Grade: Excellent with distinction, top 1%

Thesis: Neural Decoding with Normalizing Flows
2013 – 2017

BSc in Cognitive Science

Osnabrück University

Grade: Excellent

Thesis: View-independent human motion analysis