About me
I am a 3rd year doctoral candidate at the MIT Operations Research Center, advised by Prof. B. Van Parys.
Prior to joining MIT, I graduated from Ecole Polytechnique in 2019 Majoring in Applied Mathematics and completed two years of preparatory program (CPGE) in
Lycée LouisleGrand.
My research interest lies in datadriven decisionmaking. I strive to understand theoretically how to use most efficiently observed data to make decisions. The goal is to derive
from these theoretical insights novel algorithms that tackle unsolved challenges in datadriven decisionmaking.
So far in my PhD, I have worked in dynamic decisionmaking (Reinforcement Learning) to introduce a novel more efficient offline RL framework.
I have also worked on designing decisionmaking schemes, using Distributionally Robust Optimization ,
that are provably optimal (i.e the best that can be done with the data) when a certain outofsample guarantee is desired.
Finally, I worked on analyzing the representation power of neural networks and contributing to explain theoretically why neural networks work so well in datadriven prediction.
Papers
Research Projects
Teaching

Teaching Assistant, MIT
15.093/6.255 Optimization Methods, Graduate (Masters, PhDs, MBAn, MBA & others), Fall 2021. (240 students)

Teaching Assistant, MIT
15.093/6.255 Optimization Methods, Graduate (Masters, PhDs, MBAn, MBA & others), Fall 2020. (125 students)

Instructor, Mathematical Olympiad
President of the Moroccan Mathematical Olympiad society. (20162019)

Instructor, Institut Bossuet
Instructor in advanced mathematics for undergraduate students of top french classes préparatoire.
Talks
Minimal Representation Learning: Toward more Interpretable and Efficient Offline Reinforcement Learning
Past: INFORMS annual meeting November 2020; ORC Student Seminar Series April 2021; MSOM Conference June 2021; INFORMS Healthcare Conference July 21st 2021
Upcoming: INFORMS annual meeting October 2021
The Representation Power of Neural Networks
Past: MIT SIAM student seminar December 2020; ORC Student Seminar Series March 2021
Learning and DecisionMaking with Data: Optimal Formulations and Phase Transitions
Past: ORC Student Seminar Series October 2021
Upcoming: INFORMS annual meeting October 2021