Chris Gu

Chris Gu is an Assistant Professor of Marketing at the Scheller College of Business, Georgia Institute of Technology. His research integrates artificial intelligence, network analysis, and causal inference to study consumer and organizational behavior under information constraints and economic structures.

Education:

• Ph.D. in Marketing, Booth School of Business, The University of Chicago
• M.S. in Statistics, The University of Chicago
• B.S. in Computer Science and Applied Mathematics, Columbia University

His research focuses on developing and applying AI/ML models and empirical structural methods to address complex market dynamics. Key areas include using Graph Neural Networks (GNNs) for causal inference in observational and experimental data, modeling consumer search under partial information, and analyzing the impact of policy on green technology adoption. His work bridges technical innovation with real-world business and societal challenges, particularly in sustainability.

Although specific publications are not listed, his research trajectory centers on machine learning, network science, and causal modeling within marketing and industrial organization contexts.

Scientific Awards:

• AMS Mary Kay Foundation Doctoral Dissertation Competition finalist
• ISMS Doctoral Dissertation Award

Chris Gu is actively engaged in teaching and curriculum development, bringing his research into the classroom by analyzing markets using networks and natural language processing. He mentors students through research and contributes to educational innovation by developing mini-cases on sustainable business practices for undergraduate statistics courses. There is no mention of external grants, but his work appears to be supported through academic recognition and institutional affiliations.

He is affiliated with the Marketing department at Scheller College of Business and contributes to initiatives promoting sustainability and networked thinking in business education.