About

Chris Gu is an Assistant Professor of Marketing in the Scheller College of Business at Georgia Institute of Technology. His research focuses on the quantitative study of the behaviors of individuals and organizations under various types of information constraints and economic structures, with the goal of improving their well-being. He develops/uses AI/ML models and empirical structural models to perform causal inference. His current work explores a range of topics: using GNN to capture network heterogeneity for causal inference in observational data and enhance estimator efficiency in random experiment data; understanding how consumers dynamically search for products under partially revealed information; studying the adoption of green technologies influenced by government policy; analyzing corporate decisions on technology adoption and upgrades. Chris' research was recognized with honors including the AMS Mary Kay Foundation Doctoral Dissertation Competition finalist and the ISMS Doctoral Dissertation Award.

Chris brings his research passion into the classroom, analyzing markets using networks and NLP. He also promotes a networked worldview that more easily leads to sustainability, and contributes by developing mini-cases on sustainable business applications for the college-wide undergraduate statistics course.

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

Research Interests

• AI/ML, Network Analysis, Causal Inference
• Consumer Behaviour and Markets, Industrial Organization, Sustainability