Dan Berrebbi

Dan Berrebbi is a skilled researcher with extensive experience in artificial intelligence, natural language processing, and speech processing. Dan has held positions at reputable organizations, including Meta as a Research Engineer focusing on multimodal large language models, WaveForms AI as a Member of Technical Staff, and Apple as a Research Intern contributing to semi-supervised algorithms for speech recognition. At Carnegie Mellon University, Dan served as a Graduate Research Student, engaging in research on self-supervised and semi-supervised models while publishing in top conferences. Additional internships include roles at Dalet Digital Media Systems, SYSTRAN, and Inria, where Dan specialized in various NLP applications. Dan holds degrees in Mathematics and Physics from Lycée Louis-le-Grand, an engineering degree in Computer Science and Applied Mathematics from École Polytechnique, and a Master of Science in Artificial Intelligence from Carnegie Mellon University.