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 draws from optimization, machine learning, econometrics and game theory, with a common thread of fitting structural models to data. I am also interested in models of strategic behavior as it relates to incentives and competition. Contextual areas of my work include urban mobility, healthcare, and labor platforms.

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

Working papers:

Platform Disintermediation: Information Effects and Pricing Remedies.
with S. Sekar.
Under 2nd round review (Major revision), Management Science.

Accepted to 25th ACM Conference on Economics and Computation (EC '24).
Accepted to MSOM Technology, Innovation, and Entrepreneurship (TIE) SIG Day, 2024.

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).

Winner, INFORMS Public Sector Operations Research (PSOR) Best Paper Award, 2023.
Winner, POMS College of Sustainable Operations Student Paper Competition (Zhang), 2022.
Second Place, INFORMS Service Science Best Student Paper Award (Zhang), 2022.
Second Place, Section on Location Analysis Best Student Paper Award (Zhang), 2023.
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 (Forthcoming).

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).

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).

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

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).

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).

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).

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

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

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)