Ali Daei Naby

Ali Daei Naby is a fourth-year PhD student in Operations Management and Statistics at the University of Toronto's Rotman School of Management, advised by Azarakhsh Malekian and Ming Hu. His research spans revenue management and mechanism design, focusing on how limited information - coarse post-allocation signals, costly value inspection, limited price experimentation - shapes pricing and selling mechanisms. Before Rotman he earned an M.Sc. in Applied Mathematics (2022, GPA 18.52/20) and a B.Sc. in Mathematics and Applications (2020) from Sharif University of Technology in Iran. He represented Iran at the 2015 International Mathematical Olympiad, winning a bronze medal, and later competed for Sharif at the 2019 International Mathematics Competition.

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• Fourth-year PhD student in Operations Management and Statistics at Rotman, advised by Azarakhsh Malekian and Ming Hu; research centers on revenue management and mechanism design under limited information.Jul 2026
• Public email [contact omitted] published on his personal site.Jul 2026
• Co-authored 'Incentivizing Data Collaboration: A Mechanism Design Approach' with Saeed Alaei (Google Research) and Ali Makhdoumi (Duke) - accepted at ACM EC 2026, a top mechanism-design venue.2026
• Represented Iran at the 2015 IMO in Chiang Mai, Thailand as a bronze medalist (also Iran National Math Olympiad gold in 2014) - one of the cohort feeding Iran's consistent top-10 IMO program.Jul 2015
• M.Sc. Applied Mathematics (2022) and B.Sc. Mathematics and Applications (2020) both from Sharif University of Technology, Iran.Jul 2026
• 'Inspect or Guess? Mechanism Design with Unobservable Inspection' (with Alaei, Malekian), cited twice; presented at WINE 2025.2025
• 'Rarity vs. Commonality: Optimal NFT Art Collection Design' won a 2024 Rotman Management Data and Analytics Lab grant - an early applied mechanism-design project.2024
• Represented Sharif University at IMC 2019, scoring 48 - a sustained competitive-math record bridging high school IMO to university internationals.2019