Xiliang Zhao is a professor of economics at Xiamen University with nine years of post-PhD academic experience and a research focus on labor and urban economics, applied econometrics, and modern causal inference methods. He blends traditional econometric training from Tsinghua University with hands-on work in machine learning and deep learning to study China-specific labor market dynamics. His career includes visiting research roles at the University of Chicago and Cornell and a postdoc collaboration on the Chinese economy, reflecting strong international research ties. In addition to undergraduate and graduate teaching, he advises student research and translates advanced quantitative methods into policy-relevant studies, often bridging causal inference techniques with large-scale empirical applications.
9 years of coding experience
3 years of employment as a software developer
Ph.D., Economics, Ph.D., Economics at Tsinghua University
Master of Economics, Economics, Master of Economics, Economics at Shandong University
Contributions:16 commits, 15 pushes, 1 branch in 1 day
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