Amine Bennouna

Kellogg School of Management
Northwestern University

Contact: amine.bennouna@kellogg.northwestern.edu
CV, Google Scholar, LinkedIn


Hello! I am an Assistant Professor in Operations at the Kellogg School of Management, Northwestern University. Prior to that, I spent one year as a postdoctoral researcher at the MIT Laboratory for Information & Decision Systems (LIDS), working with Prof. Asuman Ozdaglar and Prof. Saurabh Amin.

I completed my PhD at the MIT Operations Research Center in 2024, advised by Prof. Bart Van Parys. Prior to joining MIT, I graduated from Ecole Polytechnique in 2019 majoring in Applied Mathematics.


Taken by my talented brother

headshot

My research focuses on understanding how machines, or artificial intelligence (AI), learn to make decisions. Specifically, I work on developing novel learning algorithms to enable efficient, data-driven decision-making while emphasizing key reliability attributes. Enhancing these learning algorithms has significant practical implications, driven by the rapid adoption of AI, and is based on fascinating mathematical models. My research involves theoretical and algorithmic advancements, leveraging tools from probability theory, optimization, and geometry.
Keywords include: Data-driven Decision-making, Experimentation, Data Value, Stochastic Optimization, Distributionally Robust Optimization, Human-AI Interaction.

Recent News
  • Upcoming Talk: Robust Optimization Webinar (ROW) on October 16 (15:00 CET / 9:00 AM ET), presenting our work on data informativeness in optimization under uncertainty.
  • Award: Our paper Data Informativeness in Linear Optimization under Uncertainty won the INFORMS Decision Analysis Society Student Paper Award. Congratulations to Omar Bennouna!
Papers
  • Robust Two-Stage Optimization with Covariate Data
    with Bart Van Parys & Julien Pinede.
Teaching
  • Operations Management, Kellogg OPNS-430
    Full-Time MBA, Spring 2026.
  • Optimization Methods, MIT 15.093/6.255 | Head Teaching Assistant
    Graduate (Masters, PhDs, MBAn, MBA), Fall 2021. (180 students)
  • Optimization Methods, MIT 15.093/6.255 | Teaching Assistant
    Graduate (Masters, PhDs, MBAn, MBA), Fall 2020. (120 students)
  • The Analytics Edge, MIT 15.071 | Guest Lecturer
    Graduate (MBA), Fall 2023. (80 students)
  • The Advanced Analytics Edge, MIT 15.072 | Guest Lecturer
    Graduate (MBAn), Fall 2023. (100 students)
Service
    Reviewer
    Operations Research, Management Science, Annals of Statistics, Annals of Applied Probability, NeurIPS, Automatica, INFORMS Journal on Optimization.
Talks
The background is a typical geometric motif of Moroccan mosaic tilework. These beautiful geometric patterns, found everywhere in Morocco, date back to the 10th century. Beyond their beauty, they are facinating mathematical objects. (Credit: Zellij gallery)