Yousef Khoubrane is an AI researcher and PhD candidate at École Polytechnique with two years of hands-on experience applying ML and NLP to real-world problems. He has worked on instruction tuning for LLMs—specializing in Moroccan Darija—engineered fine-tuning datasets, and designed evaluation benchmarks while collaborating with MBZUAI and academic mentors. His background spans multimodal methods and graph-based models (GNNs), and he has explored encoding structured data into sequences to improve LLM comprehension. Prior research includes integrating ML with Data Envelopment Analysis and publishing empirical results on S&P 500 firms, demonstrating a balance of theoretical rigor and applied impact. Now based in Greater Paris and working at Assystem, he combines strong Python and research skills with a curiosity for language diversity and practical deployment challenges.
2 years of coding experience
Lycée Moulay Abdellah, Safi, Morocco, Mathematics and Physics, Lycée Moulay Abdellah, Safi, Morocco, Mathematics and Physics at CPGE - Classes préparatoires aux grandes écoles
Doctor of Philosophy - PhD, Computer Science, Data and Artificial Intelligence, Doctor of Philosophy - PhD, Computer Science, Data and Artificial Intelligence at École Polytechnique
Master's degree, Engineering/Industrial Management, Master's degree, Engineering/Industrial Management at EMINES - School of Industrial Management / Mohammed VI Polytechnic University
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Yousef Khoubrane - Artificial Intelligence Researcher at Assystem