معرفی
Omar Mouchtaki is an Assistant Professor of Technology, Operations, and Statistics at the Leonard N. Stern School of Business, New York University, where he joined in July 2024. His research bridges theoretical and practical aspects of data-driven decision-making in operations management.
Education:
- PhD in Decision, Risk and Operations, Columbia University
- MS in Applied Mathematics and Computer Science, École Polytechnique (Paris)
- BS in Applied Mathematics and Computer Science, École Polytechnique (Paris)
Omar's research lies at the intersection of optimization, probability, game theory, and statistical learning. His work focuses on improving operational decision-making in areas such as inventory management, pricing, revenue management, and assortment optimization. He develops methodological tools with fine-grained performance guarantees tailored to real-world data environments.
His recent publications and working papers, many co-authored with leading scholars like Omar Besbes and Will Ma, appear in top journals like Management Science and conference proceedings such as NeurIPS. These works explore topics including non-IID data environments, sample-efficient learning for newsvendor problems, auction design, and joint inventory-assortment planning.
Scientific Awards:
- Finalist, 'Best OM Paper in Management Science' Award, 2024
- First Place, RMP Jeff McGill Student Paper Award, 2021
- Finalist, INFORMS George Nicholson Student Paper Competition, 2021
- Finalist, APS Best Student Paper Award, 2021
Omar advises no students listed publicly but is actively involved in research collaborations. He teaches Operations Management in the Part-Time MBA program starting Spring 2025. His research is supported by ongoing collaborations and submissions to leading journals, indicating a strong trajectory in operations research and data-driven operations.
He is affiliated with the Decision, Risk and Operations division at Columbia during his PhD and now contributes to NYU Stern’s Technology, Operations, and Statistics area. No labs or research centers are explicitly mentioned in the provided text.
