I am a first year PhD student at the safety- & efficiency- aligned learning (🦭) group advised by Jonas Geiping funded by IMPRS-IS and Amazon Science Hub. I am excited about most things deep learning, especially optimization and inference efficiency. Fundamental to my research is the implementation of mathematical ideas on computer technologies. On my free time I enjoy literature, science, and sports.

I am currently working on inference for multi-agent systems, continual learning, and reasoning.