Ouail Kitouni

Ouail Kitouni

Physics, Data Science and Statistics dual degree Ph.D. Candidate

Massachussetts Institute of Technology

I am a second year Ph.D. student at the Lab for Nuclear Science and the Statistics and Data Science Center at MIT. I am mainly interested in research at the interface between machine learning and physics. Problems I work on include AI fairness and interpretability applied to high energy physics. I am also interested in geometric learning and graph based architectures to improve our understanding of collider data.


  • Deep Learning
  • Particle Physics
  • Data Science


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

    Massachusetts Institute of Technology

  • BSc in Physics and Mathematics, 2019

    University of Rochester