Auyon Siddiq

Associate Professor of Decisions, Operations and Technology Management

UCLA Anderson School of Management

auyon.siddiq@anderson.ucla.edu

I am an Associate Professor of Decisions, Operations and Technology Management at the UCLA Anderson School of Management. I study questions related to digital labor platforms, AI, and urban sustainability, often from a market design perspective. My work develops and applies methods that blend optimization, econometrics, and game theory.

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).

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

Publications

Working Papers

Human Capital, AI, and Labor Commoditization. with N. Zhang.
Empirical Market Design in Surplus Food Marketplaces. with Y. Dong and J. Zhang. Major Revision, Operations Research.
- Accepted to MSOM Sustainable Operations SIG Day, 2026.
- Best Paper Presentation Award, Early Career Sustainable Operations Workshop, 2026 (Dong).
- Second Place, POMS College of Sustainable Operations Student Paper Competition, 2026 (Dong).

Accepted or Published

Operations journals

Platform Disintermediation: Information Effects and Pricing Remedies. with S. Sekar. Operations Research (2026), Vol. 74, No. 3.
- Accepted to 25th ACM Conference on Economics and Computation (EC '24).
- Accepted to MSOM Technology, Innovation, and Entrepreneurship (TIE) SIG Day, 2024.
Planning Bike Lanes with Data: Ridership, Congestion, and Path Selection. with S. Liu and J. Zhang. Management Science (2025), Vol. 71, No. 9: 7631–7654.
- 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.
- Accepted to MSOM Sustainable Operations SIG Day, 2022.
Discovering Causal Models with Optimization: Confounders, Cycles, and Instrument Validity. with F. Eberhardt and N. Kaynar. Management Science (2025), Vol. 71, No. 4: 3283–3302.
- Second Place, ADIA Lab Best Paper Award, 2024 (Prize: $30,000).
Estimating Effects of Incentive Contracts in Online Labor Platforms. with N. Kaynar. Management Science (2023), Vol. 69, No. 4: 2106–2126.
Ride-hailing Platforms: Competition and Autonomous Vehicles. with T. Taylor. Manufacturing & Service Operations Management (2022), Vol. 24, No. 3: 1511–1528.
Partnerships in Urban Mobility: Incentive Mechanisms for Improving Public Transit Adoption. with C. S. Tang and J. Zhang. Manufacturing & Service Operations Management (2022), Vol. 24, No. 2: 956–971.
Data-Driven Incentive Design in the Medicare Shared Savings Program. with A. Aswani and Z-J. M. Shen. Operations Research (2019), Vol. 67, No. 4: 1002–1026.
- Second Place, INFORMS Health Application Society Pierskalla Best Paper Award, 2016.
Inverse Optimization with Noisy Data. with A. Aswani and Z-J. M. Shen. Operations Research (2018), Vol. 66, No. 3: 870–892.
- Berkeley IEOR Katta G. Murty Prize, 2016.
Robust Defibrillator Deployment Under Cardiac Arrest Location Uncertainty via Row-and-Column Generation. with T. C. Y. Chan and Z-J. M. Shen. Operations Research (2018), Vol. 66, No. 2: 358–379.
- Winner, Canadian Operational Research Society Student Paper Competition, 2014.
- Second Place, INFORMS Health Applications Society Student Paper Competition, 2017.

Practitioner and medical journals

Fairness in Crowdwork: Making the Human AI Supply Chain More Humane. with M. Gonzalez Cabello, C. Corbett, and C. Hu. Business Horizons (2025), Vol. 68, No. 5: 645–657.
Shield-Net: Matching Supply with Demand for Face Shields During the COVID-19 Pandemic. with R. Alcock and J. Boutilier. INFORMS Journal on Applied Analytics (2022), Vol. 52, No. 6: 471–582.
- Finalist, Doing Good with Good OR Student Paper Competition, 2021 (Alcock).
Modeling the Impact of Public Access Defibrillator Range on Cardiac Arrest Coverage. with S. C. Brooks and T. C. Y. Chan. Resuscitation (2013), Vol. 84, No. 7: 904–909.

Teaching

Data and Decisions (MGMTFT 402), Full-Time MBA, Fall 2018 - present.
Optimization (MGMTMSA 403), Master of Science in Business Analytics, Fall 2019 - present.
Science and Strategy of Artificial Intelligence (MGMT298D), Full-Time MBA, Spring 2026.

Students

Niuniu Zhang (exp. 2029)
Alexandra Yizhuo Dong (exp. 2028)
Martin Gonzalez Cabello (exp. 2027, Dissertation Co-Chair with C. Corbett)
Jingwei Zhang (2023, Dissertation Co-Chair with C. 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

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.
M&SOM Meritorious Service Award, 2020, 2022 - 2024.
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

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.