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I am a postdoctoral researcher at Mila - Quebec AI Institute and a postdoctoral fellow at McGill University in Montréal 🇨🇦. Before that, I was a postdoctoral researcher at the Language Science and Technology Department of Saarland University in Saarbrücken 🇩🇪, where I also did my PhD in Computer Science.

The overarching goal of my research is to build natural language processing (NLP) systems that are well understood, robust, and adaptable. Millions of users now interact with NLP models such as ChatGPT on a daily basis. However, despite their impressive capabilities, we lack a fundamental understanding of how and why LLMs work. Without this understanding it is difficult to reliably predict their behavior, mitigate biases in their predictions, and create trust in current and future NLP systems.

A recurring theme in my research is to challenge the status quo and critically question our understanding of existing approaches and research practices. For our work, my collaborators and I have received a Best Paper Award 🏆 at COLING 2022, the Best Theme Paper Award 🏆 at ACL 2023, and the Most Interesting Paper Award 🏆 at the BabyLM Challenge 2023.

In my free time, I enjoy CrossFit 🏋️, playing soccer ⚽️, and occationally baking 🍰.