Alaa El-nouby is a research scientist with 11 years of experience specializing in vision transformers, self-supervised and multi-modal learning, currently building Code World Models after research roles at Apple MLR and Meta AI. He holds a PhD from ENS/Inria Paris and an MASc from the University of Guelph, and has been advised by prominent researchers including Ivan Laptev, Natalia Neverova and Hervé Jégou. His background blends deep research with engineering: internships and roles at Apple, Microsoft Research, and Microsoft ATLC gave him hands-on experience deploying large-scale pipelines for video, NLP, and retrieval tasks. He has a track record in image retrieval and compression as well as language-vision pretraining, often bridging academic ideas to practical systems. Based in Paris, he brings a cross-continental career arc—from Egypt to Canada to France—that reflects both strong academic mentorship and production ML experience. A less obvious strength is his repeated movement between pure research and applied engineering, enabling rapid prototyping of research ideas into deployable systems.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Ecole normale supérieure
Bachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Ain Shams University
Ain Shams University Computer Engineeering, Ain Shams University Computer Engineeering at patriarchal college
Master of Applied Science (MASc) Engineering Machine Learning, Master of Applied Science (MASc) Engineering Machine Learning at University of Guelph
Contributions:106 commits, 112 pushes, 1 branch in 6 years 5 months
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