Auyon Siddiq

Auyon Siddiq is an Assistant Professor of Decisions, Operations, and Technology Management at the UCLA Anderson School of Management. His research integrates economic modeling with data analytics to address challenges in urban mobility, healthcare systems, and online labor platforms. He holds a Ph.D. in Operations Research from UC Berkeley, where he received teaching awards, and prior degrees from the University of Toronto and Dalhousie University.

Education:

• Ph.D. Operations Research, University of California, Berkeley (2018)
• M.S. Operations Research, University of California, Berkeley (2014)
• M.A.Sc. Industrial Engineering, University of Toronto (2013)
• B.Eng. Electrical Engineering, Dalhousie University (2011)

Research Interests: Siddiq focuses on incentive design, optimization methods, and structural estimation in dynamic environments. His work explores applications in urban mobility (e.g., bike lane planning, public transit partnerships), healthcare (e.g., Medicare incentive programs, defibrillator deployment), and online labor platforms (e.g., crowdwork fairness, contract effects). His methodologies combine game theory, econometrics, and machine learning.

Teaching: He teaches core courses in analytics for the Full-Time MBA and optimization for the MS in Business Analytics at UCLA Anderson. Recognized as one of the '40-Under-40 Best Business School Professors' by Poets & Quants in 2020 for his teaching excellence.

Awards & Recognition:

• Management Science Meritorious Service Award (2023)
• INFORMS Public Sector Operations Research Best Paper Award (2023)
• UCLA Society of Hellman Fellows (2023)
• National Science Foundation RAPID Grant (2020)

Advising & Grants: Siddiq advises PhD students in operations research and has secured grants for pandemic-related research (e.g., Shield-Net for face shield distribution). He collaborates with institutions like UC Berkeley and Cornell University on interdisciplinary projects.

Labs & Teams: Engaged with UCLA's decision sciences and operations research groups, contributing to initiatives like the DOTM Supply Chain Blog and the Morrison Center for Marketing and Data Analytics.