团队

Professor Zhong Liang’s research agenda is centered around two interconnected areas: developing innovative econometric tools to reduce computational complexities and analyzing strategic behaviors to offer actionable policy insights. Professor Zhong strives to bridge crucial gaps in the field of economics. First, Professor Zhong connects advanced econometric methods with empirical research by creating new statistical approaches. Second, He links economic theory to real-world applications by leveraging big data techniques, including natural language processing and machine learning. This multifaceted approach allows Professor Zhong to address significant challenges across diverse domains, such as the economics of crime, racial discrimination, privacy concerns, and optimization problems. By integrating theoretical rigor with cutting-edge analytical methods, Professor Zhong’s work aims to enhance our understanding of complex economic phenomena and contribute to more effective data-driven policymaking.