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Abderrahim Fathan is a machine learning researcher and software engineer specializing in AI and data science. They are currently completing a PhD in Computer Science at Concordia University, focusing on self-supervised learning for automatic speaker verification and audio deepfake detection. Abderrahim has contributed to various research projects and publications, particularly in the areas of label noise mitigation and robust machine learning applications. Previously, they held positions at CGI, HEC Montréal, and CRIM, where they engaged in software development and machine learning research.