Zhongming Jiang is a first-year Ph.D. student in Marketing (Quantitative) at Harvard Business School. His research focuses on developing methodologies for Customer Relationship Management (CRM) that enable personalized interventions, dynamic customer segmentation, and proactive churn management. He builds CRM-specific heterogeneous causal inference frameworks grounded in Bayesian nonparametrics, probabilistic machine learning, and representation learning. Substantively, he is interested in how recommender systems and customers’ psychological states shape long-term relationships, as well as the roles of privacy and multimodal content in platform marketing. Prior to joining HBS, he earned a Bachelor of Science with highest honors in Statistics and honors in Mathematics from the University of Michigan.
