Hello! I’m Qianyin Xia. I received my Ph.D. in Quantitative Marketing from the Robinson College of Business at Georgia State University. 

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.