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I am a postdoctoral researcher at Mila - Quebec AI Institute and a postdoctoral fellow at McGill University in Montrรฉal ๐Ÿ‡จ๐Ÿ‡ฆ. Before that, I was a postdoctoral researcher at the Language Science and Technology Department of Saarland University in Saarbrรผcken ๐Ÿ‡ฉ๐Ÿ‡ช, where I also did my PhD in Computer Science.

The goal of my research is to enable reliable, controllable, and trustworthy Natural Language Processing (NLP) systems, particularly the Large Language Models (LLMs) that millions interact with daily. LLMs require significant adaptation (also known as fine-tuning or post-training) to become specialized, safe, and aligned with specific requirements after pre-training. My research program centers on building a fundamental, scientific understanding of this crucial adaptation stage.

For our work, my collaborators and I have received a Best Paper Award ๐Ÿ† at COLING 2022, the Best Theme Paper Award ๐Ÿ† at ACL 2023, and the Most Interesting Paper Award ๐Ÿ† at the BabyLM Challenge 2023.

In my free time, I enjoy CrossFit ๐Ÿ‹๏ธ, playing soccer โšฝ๏ธ, and occationally baking ๐Ÿฐ.

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