Summary
Ouail Kitouni is a research scientist and MIT PhD student specializing in the science of deep learning, with eight years of experience bridging physics, statistics, and machine learning. Based in San Francisco, he has held research roles at Anthropic, Meta FAIR, Microsoft, and the NSF AI Institute IAIFI, and contributed to applied ML projects at Frontier Development Lab. His work blends rigorous theoretical inquiry with practical model-building, informed by a physics and math undergraduate foundation from the University of Rochester. Notably, he balances academic depth as a PhD researcher with industry-facing internships and a public research portfolio showcased on his personal site.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Statistics, and Data Science, Doctor of Philosophy - PhD, Physics, Statistics, and Data Science at Massachusetts Institute of Technology
Bachelor of Science - BS, Physics and Mathematics, Bachelor of Science - BS, Physics and Mathematics at University of Rochester
Arabic, French, English