Portrait image for Auyon Siddiq

Auyon Siddiq

Assistant Professor of Decisions, Operations and Technology Management
“The marriage of data analytics and economic modeling has the potential to unlock valuable insights in both the public and private sectors.”
Areas of Expertise:
  • Data Analytics
  • Operations Management
  • Optimization


Auyon Siddiq is an assistant professor of decisions, operations and technology management at UCLAs Anderson School of Management. His research combines economic modeling with modern data analytics to investigate contemporary issues in urban mobility, health care and online labor platforms. Siddiq’s research has been published in leading academic journals, including Management Science, Manufacturing & Service Operations Management and Operations Research.

Siddiq’s belief in the value of using quantitative models to address complex societal problems led him to pursue a Ph.D. in operations research at the University of California, Berkeley, where he received three teaching awards. “The beauty of operations management is that the quantitative tools are portable: they can be applied as readily to the study of transportation as to health care, given suitable domain knowledge.”

At Anderson, Siddiq teaches the core analytics class in the full-time MBA program and the core optimization class in the Master of Science in Business Analytics program. In his second year as an Anderson faculty member, he was named among the Best 40-Under-40 Business School Professors by Poets & Quants, based on nominations from full-time MBA students.

“The privilege of teaching at Anderson is getting to interact with thoughtful students who bring a wealth of collective knowledge to the classroom,” he says. “A diversity of student experience makes class more exciting for everyone involved ― myself included.”


Ph.D. Operations Research, 2018, University of California, Berkeley

M.S. Operations Research, 2014, University of California, Berkeley

M.A.Sc. Industrial Engineering, 2013, University of Toronto

B.Eng. Electrical Engineering, 2011, Dalhousie University

Research and Publications

Disintermediation in Online Platforms: Price and Reputation Effects, with Shreyas Sekar. In preparation.

Planning Bike Lanes with Data: Ridership, Congestion, and Path Selection, with Sheng Liu and Jingwei Zhang. Major revision, Management Science.

Discovering Causal Models with Optimization: Confounders, Cycles, and Feature Selection, with Frederick Eberhardt and Nur Kaynar. Major revision, Management Science.

Estimating Effects of Incentive Contracts in Online Labor Platforms, with Nur Kaynar. Forthcoming, Management Science.

Shield-Net: Matching Supply with Demand for Face Shields During the COVID-19 Pandemic, with Rebecca Alcock and Justin Boutilier. Forthcoming, INFORMS Journal on Applied Analytics.

Ride-hailing Platforms: Competition and Autonomous Vehicles, with Terry Taylor, M&SOM (2022), Vol. 24, No. 3: 1511–1528.

Partnerships in Urban Mobility: Incentive Mechanisms for Improving Public Transit Adoption, with Christopher S. Tang and Jingwei Zhang. M&SOM (2022), Vol. 24, No. 2: 956–971.

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. [PDF]

Inverse Optimization with Noisy Data, with Anil Aswani and Zuo-Jun (Max) Shen. Operations Research (2018), Vol. 66, No. 3: 870–892.

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.

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.