Jinyang Zheng

Jinyang Zheng is an assistant professor at the Krannert School of Management at Purdue University. His current research interests include transportation network, user-generated content, online two-sided market, mobile commerce, social media. He applies microeconometrics, empirical IO, and machine learning (e.g. causal inference, unstructured data processing) in his research. His recent study found that online transportation networks tools can significantly improve the operational flexibility and efficiency of the public transportation system; early-stage large-scale sales promotion can stimulate consumer learning about online transportation networks; the "conform or to be cast out" policy can significantly enhance the consumer welfare; WeChat contributes to the usage of the smartphone ecosystem without squeezing out the usage of the other apps. He develops the courses of Analyze Unstructured Data (Business Analytics Master Program course), and Data Tech for Research (Ph.D. course), and teaches Database Systems (Undergraduate core course). He graduated from the University of Washington in 2017. Prior to that, he graduated from the Department of Statistics at Fudan University in 2013.