Summary
Elyes Manai is an assistant professor and Explainable AI for Cybersecurity researcher with nine years of experience bridging academic research, industry consulting, and developer advocacy. As a Google Developer Expert and Microsoft Certified Trainer, he mentors founders and engineers on deploying robust ML systems, has advised startups in Google for Startups, and manages ML projects at Orange Tunisia. His work spans hands-on deep learning research (including novel data augmentation for low-resource dialects at InstaDeep), practical XAI integration for SOCs, and large-scale teaching—training hundreds through NVIDIA DLI, corporate workshops, and university courses. Elyes is noted for turning research into deployable products and curricula, guiding teams from prototyping LLMs and agents to real-time production pipelines. Based in Quebec while completing a PhD in Machine Learning at Université Laval, he combines community leadership with a knack for simplifying complex ML concepts for diverse audiences.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at Université Laval
Masters of Research in Artificial Intelligence Artificial Intelligence, Masters of Research in Artificial Intelligence Artificial Intelligence at Ecole Supérieure d'Economie Numérique Manouba
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Institut Supérieur des Arts Multimédia de la Manouba(ISAMM)
Middle School Diploma General Studies, Middle School Diploma General Studies at Bouebdelli elementary & middle School
English, French, Arabic, German