Auyon Siddiq

Auyon Siddiq is an Associate Professor of Decisions, Operations and Technology Management at the University of California, Los Angeles 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. He 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 at Anderson, he was named among the Best 40-Under-40 Business School Professors by Poets & Quants.

Auyon Siddiq is an Associate Professor at UCLA Anderson School of Management, specializing in incentives, market design, competition, optimization, and machine learning. His research explores the intersection of these fields to address real-world challenges, such as designing incentive mechanisms for public health initiatives, optimizing urban mobility systems, and improving market efficiency through data-driven approaches. Siddiq's work often involves analyzing the impact of policy interventions and algorithmic decision-making in platforms like ride-hailing and online labor markets. His research emphasizes the role of optimization and machine learning in creating fair and effective incentive structures.