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Peng Shi is an Assistant Professor of Data Sciences and Operations at the USC Marshall School of Business. His research primarily focuses on digital platforms, e-commerce, market efficiency, innovation in online advertising, operations management, and optimization mechanisms in matching processes. His published work spans rigorous theoretical frameworks that analyze two-sided marketplaces, aiming to find optimal solutions that enhance social welfare while balancing provider profits. Notably, he received the INFORMS Frederick W. Lanchester Prize for his significant contributions to operations research and management sciences. Beyond research, he is actively involved in teaching, having developed courses in algorithmic thinking, optimization modeling, and data analytics strategies tailored for business decision-making. He integrates practical software development skills with theoretical models to prepare students for real-world challenges. His work further contributes to understanding how digital platforms can effectively connect service providers with customers, ensuring efficient market operations through appropriate pricing and design strategies.
University of Southern California Marshall School of Business • Los Angeles, CA
Teaching and conducting research in data sciences and operations, focusing on the design and analysis of digital platforms.
Ph.D. programs include specializations in Accounting, Data Sciences and Operations, Finance, Management and Organization, and Marketing.