Riyadh Baghdadi

Riyadh Baghdadi is a highly skilled professional with a background in building compilers and code generators for high-performance architectures. He specializes in compilers for deep learning, image processing, and dense tensor algebra, with expertise in polyhedral compilation, code optimization, GPU, and multicore code generation. Riyadh has led and collaborated on various projects focused on developing automatic optimization techniques using deep learning. He possesses a strong ability to work collaboratively in a team setting on multi-disciplinary projects.

Riyadh Baghdadi's educational background includes a Master 2 degree in Computer Science from Université Pierre et Marie Curie (Paris VI), an Engineer degree in Computer Science from Ecole nationale Supérieure d'Informatique (ESI, ex INI), and a Doctor of Philosophy (Ph.D.) in Computer Science from Université Pierre et Marie Curie (Paris VI).

Having a rich organizational experience, Riyadh Baghdadi has served as a Postdoctoral Researcher at the prestigious Massachusetts Institute of Technology (MIT). Previously, he held positions as a Teaching Assistant at Université Pierre et Marie Curie, an Internship at NVIDIA, a PhD Student at INRIA, participated in the Google Summer of Code program at Google, and completed a Master Internship at INRIA.