Islem is joining the DIG team for a PhD to work on verifying the outputs of language models with the help of knowledge bases.

Short Bio: Islem is a machine learning researcher with experience working on LLMs, code optimization, and applied AI systems. He is a graduate of Université Paris Cité (M2 Machine Learning), with research experience at NYU Abu Dhabi and Rakuten Tech Europe, and publications at WWW25 and PACT25. His recent projects focused on LLM-guided compiler optimization and recommender systems.

Islem will be advised by Yanzhu Guo and Fabian Suchanek, and is based in office 4C20.

Welcome, Islem!

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