Ali Daei Naby

Ali Daei Naby

Operations Management and Statistics Ph.D. student at the University of Toronto, Rotman School of Management

Welcome

I am a fourth-year PhD student in Operations Management and Statistics at the University of Toronto, Rotman School of Management, where I am fortunate to be advised by Azarakhsh Malekian and Ming Hu.

I am broadly interested in revenue management and mechanism design, with a focus on the significance of limited additional information in markets from both the supply and demand sides. I investigate how limited price experimentation improves pricing performance, how coarse post-allocation signals about buyers’ valuations affect selling mechanisms and revenue, and how buyers’ costly value inspection influences revenue and buyer surplus.

Before joining Rotman, I achieved a master’s degree in Applied Mathematics and a bachelor’s in Mathematics and Applications from Sharif University of Technology, Iran.

News

Publications

  • Inspect or Guess? Mechanism Design with Unobservable Inspection
    • with Saeed Alaei and Azarakhsh Malekian
    • Reject and Resubmit at Operations Research
    • Extended Abstract Appeared in the Proceedings of the 21st Conference on Web and Internet Economics (WINE 2025)
  • Robust One-Shot Price Experiment
    • with Setareh Farajollahzadeh and Ming Hu
    • Major Revision at Management Science
    • Extended Abstract Appeared in the Proceedings of the 26th ACM Conference on Economics and Computation (EC 2025)
    • Winner, 2025 Oded Berman Student Paper Competition

Preprint

Ongoing Work

  • Digital Art Collection Design
    • with Ming Hu and Zhoupeng (Jack) Zhang