About Me 关于我

I obtained my Ph.D. in political science from the University of Iowa in 2018. As a comparativist in this field, I delve into the micro-foundations of government-public interactions, focusing on both the Chinese context and a global comparison through political-psychological, political-linguistic, and political-economic lenses. My recent work scrutinizes the effects of perceived inequality, urbanization-driven identity shifts, and state media and online political participation, among others. In the realm of political methodology, my interests span developing experimental designs for laboratories and surveys, as well as enhancing spatial and network analysis, textual scrutiny, and the exploration of latent variables.

Since joining Tsinghua University in 2019, I have contributed as a faculty member, imparting knowledge in public policy analysis, foundations of political methodology, and the application of big data in governance. I initiated the year-long “Learning R with Dr. Hu and his friends” workshop to improve liberal-art students' competence in computational science. Additionally, I hold deputy directorships at both the Institute of Computational Social Science (Laboratory of Computational Social Science and State Governance) and the Center on Data and Governance at Tsinghua. Starting in spring 2021, I embraced roles as the Capstone Advisor at Schwarzman College of Tsinghua and as a Github Education Campus Advisor in China, furthering my engagement with academic and professional development initiatives.

See more information in my CV.

我2018年在美国爱荷华大学获得政治学博士学位。 作为比较政治学的研究者，我专注于探究政府与公众互动的微观基础，既关注中国的案例，也进行国际比较，研究视角涉及政治心理学、政治语言学和政治经济学。 近期的研究聚焦于探讨感知不平等、新型城市化引发的身份变迁，以及官方媒体受众与在线政治参与等。 在政治方法学领域，我对于发展实验室与调查的实验设计、空间与网络分析、文本分析以及潜在变量分析等方法特别感兴趣。

自2019年起，我在清华大学担任教职及博士生导师，教授公共政策分析、政治方法论基础以及大数据治理应用等课程。 我还创立了为期一年的“与胡博士及其朋友们学习R”的工作坊，旨在提升文科学生的计算科学能力。 同时，我还在清华大学计算社会科学与国家治理实验室（计算社会科学研究所）和数据与治理中心担任副主任。 从2021年春季开始，我开始担任清华大学苏世民学院的论文，以及Github教育中国地区校园顾问，进一步投身于学术和专业发展的多项活动。

更多个人信息，可见简历。