Yunzhe is a PhD student in the Political Science department at Purdue University, studying Public Policy and Political Research Methodology. His research uses experimental methods to investigate changes in public attitudes toward emerging technologies. At GRAIL, he works on the AI Survey Hub for Attitudes and Research Exchange (AI SHARE) project.
Yunzhe is a PhD student in Political Science at Purdue University, specializing in Public Policy and Political Methodology. His research focuses on understanding opinion change in the context of emerging technologies, particularly artificial intelligence. He is also interested in the institutional factors influencing AI adoption in local governments. His technical skills include proficiency in R, Python, and various statistical software, and he is the recipient of multiple fellowships. Yunzhe holds a Master's degree in Public Policy from the University of Michigan and a Bachelor’s degree in Public Administration from Shanghai Jiao Tong University.