Jonathan Z. Amar

Ph.D. Candidate
Operations Research Center
Massachusetts Institute of Technology

Contact: amarj at mit.edu
CV: PDF
LinkedIn

headshot
About me

I am a 3rd year doctoral candidate at the MIT Operations Research Center, advised by Prof. N. Trichakis. My research interests lie in Online Optimization and approximation algorithms, in Machine Learning coupled with Operations Management applications. I further work on bandit problems, online optimization and exploration-exploitation tradeoffs.
I earned my BS and MS from the Ecole Polytechnique in Applied Mathematics and Computer Science. I've had the pleasure to research at the Technion in Robust optimization.
Passionated about applying data-driven methods to solve complex decision-making problems, I look for challenges to get involved in high-impact projects. For instance, I was lucky to intern within the dispatch team at Uber Inc., optimizing real-time and large-scale systems.


Working Papers
  • Real Time Bidding in Online Advertising
    with Nicholas Renegar & Haihao Lu
  • Efficient Estimation in Linear Bandits
    with Nikolaos Trichakis
  • Dynamic Approach to Elliciting Customer Preferences
    with Nikolaos Trichakis
  • Interval Data Classification with Mu-D Partial information and Geometric Interpretation of Robustness
    with Aharon Ben-Tal and Tamir Hazan

Projects

Teaching