Thanks for stopping by!
I am a PhD student in the OATML group supervised by Yarin Gal and Tom Rainforth. I am working on (mostly Bayesian) Deep Learning. More specifically, I am currently looking into active learning, semi-supervised learning, and attention. Previously, I have dabbled with structured probabilistic models for object- and physics-aware video prediction. I received an MSc in Physics from Heidelberg University and have spent time studying in Bremen, Darmstadt, Padova, and at UCL.
I am interested in the societal and ethical implications of AI: I have co-authored a book explaining machine learning to a broad audience, discussed the ethics of AI at the Berlin-Brandenburg Academy of Sciences, and gathered real-world field experience at Bosch.
04/21 – Selected as reviewer for NeurIPS 2021.
12/20 – Selected as reviewer for ICML 2021.
11/20 – Our YouTube series on explaining AI and ML in cooperation with the Federal Agency for Civic Education has launched.
08/20 – Selected as reviewer for Object Representations for Learning and Reasoning Workshop @ NeurIPS 2020.
05/20 – Selected as reviewer for Object-Oriented Learning Workshop @ ICML 2020.
03/20 – Hands-On with AI workshop at Digi-Konferenz organized by Federal Agency for Civic Education in Frankfurt, Germany.
12/19 – Excited to announce that Structured object-aware physics prediction for video modeling and planning has been accepted to ICLR 2020.