In May 2021 I started my PhD @ Scene-Grammar-Lab, where I am currently using unsupervised and supervised deep-learning to test how scene-grammar might capture relevant factors of variation in natural images and how higher-level semantic networks support a variety of visuo-cognitive tasks using EEG, Eye-Tracking, and psychophysics.

In my free time I do volunteer work as a social data scientist for CorrelAid where among other things I have collaborated with Team Tomorrow in their VOTO project.

I am very passionate about mentoring and teaching! I am always happy to supervise students during internships or for their bachelor/master thesis, feel free to reach out any time!

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