Summary
Ouail Kitouni is a PhD student at MIT and IAIFI Junior Investigator who recently joined Anthropic as a Research Scientist, focusing on the science of deep learning and AI safety. Based in San Francisco, he brings eight years of research and industry experience across academia and leading labs, including internships at Meta FAIR, Microsoft, and Frontier Development Lab. His PhD spans physics, statistics, and data science, reflecting a strong interdisciplinary foundation that informs his ML research. He earned a BS in Physics and Mathematics from the University of Rochester, grounding his quantitative instincts. With a track record of translating theoretical insight into practical ML systems, he bridges fundamental ideas with scalable AI applications.
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