Omar Mouchtaki
I am a final-year PhD candidate in the Decision, Risk and Operations Division of the Graduate School of Business at Columbia University. I am advised by Professor Omar Besbes and Professor Will Ma. Prior to joining Columbia, I earned a BS and MS in Applied Mathematics and Computer Science from Ecole Polytechnique (Paris).
The goal of my research is to bridge the gap between the theory and the practice of data-driven decision-making by developing methodological tools tailored to the problem at hand and by deriving fine-grained and problem-specific guarantees for algorithms. My current research draws on tools from Optimization, Probability and Statistical Learning and is applied to central operational decision-making processes such as those for inventory, pricing and assortment optimization.
I am on the 2023-2024 academic job market.
Upcoming Talks
- Cornell Young Researchers Workshop, October 2023.
- INFORMS Annual Meeting, October 2023.
TB04: Data-Driven Algorithms: New Paradigms (10/17/23 at 10:45 AM, Center-North 121A)