Ouail Kitouni

Ouail Kitouni

Physics, Statistics and Data Science Ph.D.

Massachusetts Institute of Technology


[wa-ill kitooney] (Davis pronounces it best) 🔊

I am a Ph.D. student at MIT and a Junior Investigator at the Institute for AI and Fundamental Interactions. During my Ph.D., I worked a lot in research at the interface between machine learning and physics including AI robustness, fairness, and interpretability with applications to high energy physics. I am also interested in understanding the science of deep learning and AI foundations. Recently, I’ve been very excited about AI reasoning, multi-modal foundation models, safe and scalable deep learning. During my time at Microsoft Research, I worked on knowledge base generative models as part of a knowledge-augmented LLM approach to improving interpretablilty and limit hallucination in critical environments.


  • Science of Deep Learning
  • Deep Learning for Science
  • (Mechanistic) Interpretability
  • Reasoning in Foundation Models


  • Interdisciplinary Ph.D. in Physics and Statistics, 2019 - Present

    Massachusetts Institute of Technology

  • BSc in Physics and Mathematics, 2019

    University of Rochester



Research Intern

Microsoft Research

May 2023 – Aug 2023 Cambridge, UK

Machine Learning Researcher Intern

NASA/SETI Frontier Development Lab

May 2022 – Aug 2022 Mountain View, CA

Recent Publications