Thanks for stopping by!
I am a PhD student at the University of Oxford with Yarin Gal in OATML and Tom Rainforth in OxCSML. I am working on (mostly Bayesian) Deep Learning. More specifically, I am currently looking into active learning, self-attention for deep non-parametric models, and Bayesian deep ensembles. I received an MSc in Physics from Heidelberg University and have spent time studying in Bremen, Darmstadt, Padova, and at University College London.
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.
11/21 – We are excited to give a lecture on Non-Parametric Transformers as part of the Stanford Lecture Course ‘CS25: Transformers United’ in November 2021.
08/21 – I have received a ‘Best Reviewers (Top 10%)’ award for my reviewing at ICML 2021.
06/21 – Selected as reviewer for ICLR 2022.
06/21 – I have decided to release my 2020 MSc thesis Modelling Videos of Physically Interacting Objects.
06/21 – Very excited to announce a new-preprint: Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning.