Assistant Professor at New York University Abu Dhabi
Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
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Summary
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Riyadh Baghdadi is an assistant professor and compiler researcher with 15 years of experience at the intersection of machine learning, compilers, and high-performance computing. He designs and implements polyhedral compilers and code generators for dense computations—most notably leading the Tiramisu compiler project used for deep learning, image processing, and tensor algebra. His work spans GPU and multicore code generation, automatic code optimization, and applying deep learning to compiler heuristics, blending hands-on systems engineering with academic rigor from MIT and INRIA training. Riyadh has a track record of industry collaboration (NVIDIA, GCC/ScopLib) and translates DSLs into high-performance code, a skill reflected in both research and production-facing tooling. He excels at multidisciplinary teamwork and has repeatedly turned theoretical polyhedral techniques into practical compilers that deliver measurable performance gains. Based in Abu Dhabi, he brings a rare combination of deep-formal compiler expertise and applied ML-for-systems experience.
15 years of coding experience
5 years of employment as a software developer
Postdoc Computer Science, Postdoc Computer Science at Massachusetts Institute of Technology
Master 2 Computer Science, Master 2 Computer Science at Université Pierre et Marie Curie (Paris VI)
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Pierre and Marie Curie University
Engineer Computer Science, Engineer Computer Science at Ecole nationale Supérieure d'Informatique (ESI, ex INI)
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Riyadh Baghdadi - Assistant Professor at New York University Abu Dhabi