Auyon Siddiq

Auyon Siddiq

Associate Professor of Decisions, Operations and Technology Management

UCLA Anderson School of Management

auyon.siddiq@anderson.ucla.edu

I’m an Associate Professor of Decisions, Operations and Technology Management at the UCLA Anderson School of Management. My research focuses on digital platforms and marketplaces, in particular how pricing, information, and competition shape economic outcomes. I draw on game theory, optimization, and econometrics, sometimes developing new computational methods. More recent work examines AI’s effects on work and decision-making.

I'm teaching a new MBA class called Science and Strategy of Artificial Intelligence. I have also taught core statistics in the full-time MBA program and core optimization in the Master of Science in Business Analytics (MSBA) program. In 2020, I was named to Poets & Quants' list of the Best 40-Under-40 Business School Professors.

I serve as an Associate Editor at Manufacturing & Service Operations Management (M&SOM) and the INFORMS Journal on Data Science (IJDS).

Before joining UCLA, I received a PhD in Operations Research from the University of California, Berkeley.

Publications

Working Papers

  1. Human-AI Decision-Making for an Underspecified Problem.
    with Elisabeth Paulson.
  2. The Rat Race at Work: Technology, Incentives, and Burnout.
  3. Human Capital, AI, and Labor Commoditization.
    with Niuniu Zhang.
  4. Empirical Market Design in Surplus Food Marketplaces.
    with Alexandra Yizhuo Dong and Jingwei Zhang.
    Major Revision, Operations Research.

Accepted or Published

  1. Platform Disintermediation: Information Effects and Pricing Remedies.
    with Shreyas Sekar.
    Operations Research (2026), Vol. 74, No. 3: 1304–1320.
  2. Planning Bike Lanes with Data: Ridership, Congestion, and Path Selection.
    with Sheng Liu and Jingwei Zhang.
    Management Science (2025), Vol. 71, No. 9: 7631–7654.
  3. Discovering Causal Models with Optimization: Confounders, Cycles, and Instrument Validity.
    with Frederick Eberhardt and Nur Kaynar.
    Management Science (2025), Vol. 71, No. 4: 3283–3302.
  4. Fairness in Crowdwork: Making the Human AI Supply Chain More Humane.
    with Martin Gonzalez Cabello, Charles J. Corbett, and Catherine Hu.
    Business Horizons (2025), Vol. 68, No. 5: 645–657.
  5. Estimating Effects of Incentive Contracts in Online Labor Platforms.
    with Nur Kaynar.
    Management Science (2023), Vol. 69, No. 4: 2106–2126.
  6. Ride-hailing Platforms: Competition and Autonomous Vehicles.
    with Terry A. Taylor.
    Manufacturing & Service Operations Management (2022), Vol. 24, No. 3: 1511–1528.
  7. Partnerships in Urban Mobility: Incentive Mechanisms for Improving Public Transit Adoption.
    with Christopher S. Tang and Jingwei Zhang.
    Manufacturing & Service Operations Management (2022), Vol. 24, No. 2: 956–971.
  8. Shield-Net: Matching Supply with Demand for Face Shields During the COVID-19 Pandemic.
    with Rebecca Alcock and Justin J. Boutilier.
    INFORMS Journal on Applied Analytics (2022), Vol. 52, No. 6: 471–582.
  9. Data-Driven Incentive Design in the Medicare Shared Savings Program.
    with Anil Aswani and Zuo-Jun (Max) Shen.
    Operations Research (2019), Vol. 67, No. 4: 1002–1026.
  10. Inverse Optimization with Noisy Data.
    with Anil Aswani and Zuo-Jun (Max) Shen.
    Operations Research (2018), Vol. 66, No. 3: 870–892.
  11. Robust Defibrillator Deployment Under Cardiac Arrest Location Uncertainty via Row-and-Column Generation.
    with Timothy C. Y. Chan and Zuo-Jun (Max) Shen.
    Operations Research (2018), Vol. 66, No. 2: 358–379.
  12. Modeling the Impact of Public Access Defibrillator Range on Cardiac Arrest Coverage.
    with Steven C. Brooks and Timothy C. Y. Chan.
    Resuscitation (2013), Vol. 84, No. 7: 904–909.

Teaching

Doctoral Students

  • Zachary Jordan (exp. 2030, Co-Advised with Harriet Jeon)
  • Niuniu Zhang (exp. 2029)
  • Alexandra Yizhuo Dong (exp. 2028)
  • Martin Gonzalez Cabello (exp. 2027, Dissertation Co-Chair with Charles J. Corbett)
  • Jingwei Zhang (2023, Dissertation Co-Chair with Christopher S. Tang)
    • Placement: Assistant Professor, SC Johnson College of Business, Cornell University.
  • Nur Kaynar (2022, Dissertation Chair)
    • Placement: Assistant Professor, SC Johnson College of Business, Cornell University.

Awards & Grants

Paper Awards

Empirical Market Design in Surplus Food Marketplaces:

  • Best Paper Presentation Award, Early Career Sustainable Operations Workshop, 2026 (Dong);
  • Second Place, POMS College of Sustainable Operations Student Paper Competition, 2026 (Dong).

Planning Bike Lanes with Data: Ridership, Congestion, and Path Selection:

  • Winner, INFORMS Public Sector Operations Research (PSOR) Best Paper Award, 2023;
  • Winner, POMS College of Sustainable Operations Student Paper Competition, 2022 (Zhang);
  • Second Place, INFORMS Service Science Best Student Paper Award, 2022 (Zhang);
  • Second Place, Section on Location Analysis Best Student Paper Award, 2023 (Zhang);
  • Finalist, MSOM Society Award for Responsible Research in Operations Management, 2025;
  • Finalist, INFORMS Data Mining and Decision Analytics Best Paper Award (Applied Track), 2022.

Discovering Causal Models with Optimization: Confounders, Cycles, and Instrument Validity:

  • Second Place, ADIA Lab Best Paper Award, 2024 (Prize: $30,000).

Shield-Net: Matching Supply with Demand for Face Shields During the COVID-19 Pandemic:

  • Finalist, Doing Good with Good OR Student Paper Competition, 2021 (Alcock).

Data-Driven Incentive Design in the Medicare Shared Savings Program:

  • Second Place, INFORMS Health Application Society Pierskalla Best Paper Award, 2016.

Inverse Optimization with Noisy Data:

  • Berkeley IEOR Katta G. Murty Prize, 2016.

Robust Defibrillator Deployment Under Cardiac Arrest Location Uncertainty via Row-and-Column Generation:

  • Winner, Canadian Operational Research Society Student Paper Competition, 2014;
  • Second Place, INFORMS Health Applications Society Student Paper Competition, 2017.

Awards

  • M&SOM Meritorious Service Award, 2020, 2022 - 2024.
  • Management Science Meritorious Service Award, 2023.
  • Dean's Prize for Outstanding Faculty Mentorship of Ph.D. Students, 2023.
  • Eric and E Juline Faculty Excellence in Research Award, 2022.
  • Poets & Quants Best 40-Under-40 Business School Professors, 2020.
  • Berkeley Haas EMBA Outstanding Graduate Student Instructor Award, 2016, 2018.
  • NSERC Postgraduate Scholarship - Doctoral, 2014 - 2017.
  • UC Berkeley Teaching Effectiveness Award, 2015.
  • Berkeley IEOR Outstanding Graduate Student Instructor Award, 2015.
  • NSERC Postgraduate Scholarship - Masters, 2012.
  • NSERC Undergraduate Student Research Award, 2007, 2008, 2010.
  • Canadian National Millennium Scholarship, 2006 - 2010.
  • Dalhousie University Chancellor's Scholarship, 2006 - 2009.

Grants

  • UCLA Anderson Morrison Center Grant, 2024 - 2025.
  • UCLA Senate COR Faculty Grant, 2024 - 2025.
  • UCLA Society of Hellman Fellows Award, 2022 - 2023.
  • UCLA Easton Center Faculty Research Award, 2022 - 2023.
  • Co-Principal Investigator, National Science Foundation (RAPID), $100,000, 2020 - 2021.

Talks

  • McCombs School of Business, The University of Texas at Austin, 2027.
  • Daniel J. Epstein Department of Industrial & Systems Engineering, University of Southern California, 2026.
  • Sloan School of Management, MIT, 2025.
  • Stanford Graduate School of Business, 2025.
  • Kenan-Flagler Business School, UNC-Chapel Hill, 2025.
  • Stern School of Business, New York University, 2025.
  • Columbia Business School, 2025.
  • Yale School of Management, 2025.
  • Wisconsin School of Business, 2025.
  • Ross School of Business, University of Michigan, 2024.
  • Haas School of Business, University of California, Berkeley, 2023.
  • Johnson College of Business, Cornell University, 2023.
  • Fuqua School of Business, Duke University, 2023.
  • Wharton School, University of Pennsylvania, 2023.
  • Rotman School of Management, University of Toronto, 2023.
  • Haas School of Business, University of California, Berkeley, 2022.
  • Rotman OM Young Scholar Seminar Series, University of Toronto, 2022.
  • Logistics Research Seminar, Amazon, 2022.
  • Tuck School of Business, Dartmouth College, 2021.
  • Data Science Lab, MIT, 2020.
  • Department of Mechanical and Industrial Engineering, University of Toronto, 2019.