I am a graduate student in Machine learning in the labs of Felix Wichmann (University Tübingen) and Bernhard Schölkopf (Max-Planck-Institute for Intelligent Systems). My research focuses on the intersection of machine learning and cognitive science, particularly the intersection of causal inference and visual processing.
Recently, also legal questions raised my curiosity. That’s why I’m studying law at the same time. I am interested in the intersection of Machine Learning with questions of privacy, transparency and fairness.
Interested in my work? Please feel free to drop me a line.
|Nov 30, 2020||I wrote a paper about the GDPR and Machine Learning. Many thanks to Daniel Joos for the great cooperation! Künstliche Intelligenz und Datenschutz im Human Resource Management|
|Sep 30, 2020||Our paper about agreement analysis of humans and CNNs got accepted for NeurIPS 2020: Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency|
|Apr 20, 2020||Our article in Nature Communications is published: Representation of visual uncertainty through neural gain variability|
|Mar 20, 2020||New article in i-perception: Phenomenal Causality and Sensory Realism|
|Dec 9, 2019||I am invited to give a spotlight presentation at NeurIPS 2019 in Canada with our paper Perceiving the arrow of time in autoregressive motion. Only ~ 10% of all accepted papers are selected to give a spotlight presentation.|