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 visual-cognitive tasks. In the summer of 2019 I did a three month internship in Talia Konkle’s Lab, at Harvard, where I got first hands on experience in approaching questions in vision science with deep-learning. During my master’s, I took computer science courses on machine learning and computer vision to deepen my knowledge in these areas.

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 always happy to supervise students during internships or for their bachelor/master thesis, feel free to reach out any time!

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