Auyon Siddiq | UCLA Anderson School of Management

I am an Assistant Professor of Decisions, Operations and Technology Management at the UCLA Anderson School of Management. My research addresses questions related to incentive problems, competition, and market design, using tools from game theory, econometrics, machine learning, and optimization. A recurring idea is the development of optimization methods to fit structure to data. Recent contextual areas include labor platforms and urban mobility.

At Anderson, I have taught the core analytics course in the full-time MBA program and the core optimization course 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.

Before joining UCLA, I received a PhD in Operations Research from the University of California, Berkeley, an MASc in Industrial Engineering from the University of Toronto, and a BEng in Electrical Engineering from Dalhousie University, which is in my hometown of Halifax, Canada.

CV: [PDF]

Research

In progress:

Algorithmic Pricing: Capacity and Collusion.
with T. Taylor and N. Zhang.

Unprincipled Principals: Wage-Baiting in On-Demand Labor Platforms.
with Y. Gonczarowski, G. Ma, and S. Sekar.

From Waste to Taste: Structural Estimation and Market Design in Secondary Food Markets.
with Y. Dong and J. Zhang.

Platform Disintermediation: Information Effects and Pricing Remedies.
with S. Sekar.

Accepted or published:

Fairness in Crowdwork: Making the Human AI Supply Chain More Humane.
with M. Gonzalez Cabello, C. Corbett, and C. Hu.
Business Horizons (Forthcoming).

Planning Bike Lanes with Data: Ridership, Congestion, and Path Selection.
with S. Liu and J. Zhang.
Management Science (Forthcoming).

Discovering Causal Models with Optimization: Confounders, Cycles, and Instrument Validity.
with F. Eberhardt and N. Kaynar.
Management Science (Forthcoming).

Estimating Effects of Incentive Contracts in Online Labor Platforms.
with N. Kaynar.
Management Science (2023).

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).

Ride-hailing Platforms: Competition and Autonomous Vehicles.
with T. Taylor.
M&SOM (2022).

Partnerships in Urban Mobility: Incentive Mechanisms for Improving Public Transit Adoption.
with C.S. Tang and J. Zhang.
M&SOM (2022).

Data-Driven Incentive Design in the Medicare Shared Savings Program.
with A. Aswani and Z-J.M. Shen.
Operations Research (2019).

Inverse Optimization with Noisy Data.
with A. Aswani and Z-J.M. Shen.
Operations Research (2018).

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).

Modeling the Impact of Public Access Defibrillator Range on Cardiac Arrest Coverage.
with S.C. Brooks and T.C.Y. Chan.
Resuscitation (2013).

Teaching

Data and Decisions (MGMTFT 402), Full-Time MBA, Fall 2018 - present.

Optimization (MGMTMSA 403), Master of Science in Business Analytics, Fall 2019 - present.

Students

Yizhuo Dong (exp. 2028)

Martín González Cabello (exp. 2027, Co-advised with C. Corbett)

Jingwei Zhang (2023. Dissertation Co-Chair with C.S. Tang. Assistant Professor, SC Johnson College of Business, Cornell University)

Nur Kaynar (2022. Dissertation Chair. Assistant Professor, SC Johnson College of Business, Cornell University)

Selected Awards

INFORMS Public Sector Operations Research Best Paper Award, 2023.
Dean's Prize for Outstanding Mentorship of Ph.D. Students, 2023.
UCLA Society of Hellman Fellows, 2023.
Eric and E Juline Faculty Excellence in Research Award, 2022.
Poets & Quants Best 40-Under-40 Business School Professors, 2020.
National Science Foundation RAPID Grant (Co-PI, $100,000), 2020.

Invited 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.