Zhongming Jiang is a Ph.D. student in Marketing (Quantitative) at Harvard Business School. His methodological interests include Bayesian {nonparametrics, causal inference, deep learning}, and probabilistic machine learning. Substantively, he is interested in researching the impact of recommender systems and social networks on customer relationship management, as well as exploring the roles of privacy and multimodal media in platform marketing. Prior to joining HBS, he earned his Bachelor of Science with highest honors in statistics and honors in mathematics from the University of Michigan.
