I became a political scientist after receiving a Ph.D. in political science from the University of Iowa. As a political comparativist, my primary interest lies in exploring the government-mass relationship in the Chinese case and cross-nationally using political-psychological, political-linguistic, and political-economic views. My recent research focuses on how the national linguistic system, socioeconomic inequality, and sociopolitical identities influence citizens' political cognition and behaviors. My other studies cover a variety of topics of state media in the New-Media Era, migration policy under the “novel urbanization,” internet identity construction, etc.
As a political methodologist, I am interested in developing methods of lab and survey experiments, spatial and network analyses, text analysis, and latent variable analysis. Some of my published and ongoing projects include adjusting matched-guise experiments, list experiments usage expanding, and the Dynamic Comparative Political Opinions (DCPO) for public-opinion analyses across surveys, countries, and time. And, I am an avid fan of data visualization.
As a faculty member, I have worked for Tsinghua since 2019, where I teach public policy analysis, intro to political science, political method foundations, and big data analysis for governance. I am also the founder of “Learning R with Dr. Hu” year-long workshop and serve as the deputy director of the Tsinghua Center on Data and Governance (清华数据治理中心). Since the spring of 2021, I’ve become a Github Campus Advisor and striven to promote version-control skill among students and anyone who are interested.