# Hi there!

I’m a Master’s student in Artificial Intelligence at the University of Amsterdam. My goal is to have a positive impact on the world by making sure that AI will be aligned with humanity’s interests.

I’m currently working on my Master’s thesis with the Center for Human-Compatible AI on distance measures between reward functions. Before that, I have done work on the interpretability of reward models, equivariant deep learning, and on graph-based segmentation.

Interests
• Reward Learning
• Interpretability
• Robust ML
Education
• MSc in Artificial Intelligence, since 2020

University of Amsterdam

• BSc in Physics, 2020

Heidelberg University

# Research Experience

Master’s thesis
Nov 2021 – Present Amsterdam
Working on distance measures between reward functions with Adam Gleave (UC Berkeley) and Prof. Herke van Hoof (UvA)
Research Intern
Jul 2021 – Sep 2021 UC Berkeley (virtual)
• Worked on interpretability of reward models together with Adam Gleave
• Developed a method to simplify a given reward model while keeping it equivalent to the original
• Published results at the NeurIPS Cooperative AI workshop
• Implemented preference comparisons for the imitation library
Research Intern
Feb 2021 – Jun 2021 Amsterdam
• Worked with Maurice Weiler (PhD student in Max Welling’s group)
• Developed the theory of equivariant partial differential operators
• Published a paper with my results at ICLR 2022
Bachelor thesis
Apr 2020 – Jul 2020 Heidelberg
• Supervised by Prof. Fred Hamprecht
• Analyzed the extensibility of Karger’s contraction algorithm
• Paper based on my thesis was accepted as an Oral at ICCV 2021

# Topics

Recurring themes in my blog posts and papers