Hello! I’m Qianyin Xia, a Ph.D. candidate in Quantitative Marketing at the Robinson College of Business, Georgia State University, and I will be on the 2025/2026 academic job market.

As an empirical marketing modeler, my work lies at the intersection of econometric modeling and deep learning, with a particular emphasis on network-based marketing phenomena. Moving beyond traditional unit-level analysis, I examine how the performance and behavior of market units are shaped by the relational structures among interconnected marketing entities, such as consumers, firms, and platforms. This network-centric perspective enables me to uncover patterns of influence, strategic interactions, and spillover effects across the marketing ecosystem. 

My academic background spans economics, statistics, computer science, and engineering, including a Master’s in Economics, Master’s and Bachelor’s degrees in Transportation Engineering, and a Civil Engineer in Training (EIT) license. This interdisciplinary foundation enables me to adapt and extend cutting-edge models to generate insights that are both theoretically grounded and managerially relevant.