Jiaqi Shi

Jiaqi Shi serves as an Assistant Professor in the Department of Management Science and Systems at the School of Management, University at Buffalo, where he conducts interdisciplinary research at the intersection of business, technology, and data science.

Education:

• PhD in Management from University of California, Irvine
• MS from ESSEC Business School and CentraleSupelec, Paris, France
• BA from University of California, Irvine

His research spans digital platforms, machine learning, artificial intelligence, and e-commerce, with a focus on how algorithmic systems shape marketplace dynamics and consumer behavior. Dr. Shi employs rigorous quantitative methods to analyze real-world platform data, investigating topics such as sponsored product listings, price volatility in sharing economies, and network-based recommendation systems. His work bridges technical innovation with business strategy to provide actionable insights for platform operators.

Recent publications demonstrate a clear trajectory toward applying advanced machine learning techniques to pressing challenges in digital commerce and platform governance, with increasing emphasis on causal inference in marketplace experiments and heterogeneous graph analytics.

Scientific Awards:

• Winner, ISMS Doctoral Dissertation Early-Stage Research Grant (2022)
• INFORMS ISS Cluster Best Paper Award Shortlist (2023)

Dr. Shi teaches technology and innovation management courses, mentoring students in data-driven business strategy. While specific grant details aren't provided, his award-winning research agenda suggests active external funding for studies examining algorithmic pricing and platform economics. His work with co-authors from multiple institutions reflects collaborative research networks spanning business schools and computer science departments.