I am a final year Ph.D. student in Management Science/ Operations Research at The University of Chicago, Booth School of Business. My research advisors are René Caldentey and Rad Niazadeh.

I study the interplay of operations, economics, and computer science, applying a mathematical lens to real-world platform challenges. I am fundamentally driven by the operational frictions of the modern gig economy: how can platforms run highly scalable, automated algorithms while simultaneously managing the complex incentives of a decentralized, independent workforce? To resolve this tension, my Ph.D. research tackles the challenges arising from this tight coupling of operations and incentives, exploring new paradigms in online resource allocation, marketplace matching, and platform market design.

I completed my undergraduate degree in Computer Engineering at Sharif University of Technology, Iran. Before joining Booth, I did a master’s in Finance & Economics at London School of Economics, UK.

I am on the 2026-2027 academic job market!

Talks

Non-Exclusive Notifications for Ride-Hailing at Lyft

• July 21 — RMP Conference, Ross School of Business, Ann Arbor
• July 14 — MSOM Conference, Harvard Business School, Boston
• April 23 — Operations Management Rookiepalooza, Kellogg School of Management, Evanston
• March 27 — IOE-ISyE-MS&E Rising Stars Workshop, University of Michigan, Ann Arbor

Ongoing Work

• Screening Gig-Economy Workers through Performance-Based Mechanisms

  • With René Caldentey and Gustavo Vulcano

• Steering Effort through Information Bundles

  • With René Caldentey and Ennio Stacchetti

• Non-Exclusive Notifications for Ride-Hailing at Lyft I: Single-Cycle Approximation Algorithms

  • With Rad Niazadeh, in collaboration with Lyft

• Non-Exclusive Notifications for Ride-Hailing at Lyft II: Simulations and Marketplace Analysis

  • With Rad Niazadeh, in collaboration with Lyft

Publications

• Data-Driven Pricing for Availability-Based Upgrades Under a Multiple Binary Choice Model with Copula

  • With Ovunc Yilmaz, Zifeng Zhao, Ruxian Wang and Andrew Vakhutinsky
  • Manufacturing & Service Operations Management, forthcoming
• ⭐ Finalist, M&SOM Practice-Based Research Competition, 2025

• Online Job Assignment

  • With Yiding Feng, Ian Kash, and Rad Niazadeh
  • Major Revision at Operations Research
  • In Proceedings of the 21st Conference on Web and Internet Economics (WINE 2025)
  • Oral Presentation in MSOM Supply Chain Management SIG 2024

• A Stochastic Growth Model for Online Platforms

  • With René Caldentey
  • Major Revision at Management Science
  • In Proceedings of the 26th ACM Conference on Economics and Computation (EC 2025)
• ⭐ Honorable Mention, George Nicholson Student Paper Competition 2025

• Prophet Inequalities with Cancellation Costs

  • With Rad Niazadeh, Pranav Nuti, and Jan Vondrák
  • Minor Revision at Operations Research
  • In Proceedings of the 27th ACM Conference on Economics and Computation (EC 2026)
  • In Proceedings of the 56th Annual ACM Symposium on Theory of Computing (STOC 2024)

• Online Matching with Cancellation Costs

  • With Yiding Feng and Rad Niazadeh
  • Major Revision at Operations Research
  • In Proceedings of the 24th ACM Conference on Economics and Computation (EC 2023) appeared as “Online Resource Allocation with Buyback: Optimal Algorithms via Primal-Dual”

• Quantitative assessment can stabilize indirect reciprocity under imperfect information

  • With Laura Schmid, Christian Hilbe, and Krishnendu Chatterjee
  • Nature Communications 2023

• Circuit Imbalance Measures and Linear Programming

  • With Bento Natura and László Végh
  • Surveys in Combinatorics 2022