Jonathan Z. Amar

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

Contact: amarj at mit.edu
CV: PDF
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About me

I am a 5th 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
  • Demand Estimation and Personalized Assortments from Cross-Store Data for Beer Retailer
    with Vivek Farias, Patricio Foncea and Nikolaos Trichakis
  • Distribution Free Algorithms for Network Revenue Mangement
    with Nikolaos Trichakis
  • The Second-Price Knapsack Problem: Near-Optimal Real Time Bidding in Internet Advertisement
    with Nicholas Renegar & Haihao Lu
  • Efficient Estimation in Linear Bandits
    with Nikolaos Trichakis
  • Dynamic Approach to Elliciting Customer Preferences
    with Nikolaos Trichakis

Projects

Teaching