Hanqiao Zhang is an Economics Ph.D. candidate at the University of California, Irvine. He holds a M.S. in Applied Economics from the Johns Hopkins University in 2018, and a B.S. in Finance from the Beijing University of Technology. His primary research interests are machine learning, bayesian econometrics, empirical IO. More broadly, He is interested in new models, new algorithms, new applications, and new insights for solving problems that are closely related to people’s everyday lives. For example, in his second-year paper, he evaluated the relationship between consumers’ purchase incidence and purchase quantity in grocery stores using the copula model.