Xingyuan Zhao
PhD candidate in Political Science and Computational Social Science at the University of Texas at Dallas.
My research combines LLM-based annotation, causal inference, and evaluation methods with substantive questions about AI governance, political communication, and comparative politics.
Timeline
Appointments and degrees, with research papers placed in those years.
Research Assistant, National Science Foundation
At the University of Texas at Dallas I develop LLM pipelines for noisy corpora and evaluation frameworks for responsible research use of LLMs.
Teaching Assistant
Taught lab sessions in quantitative methods, data collection, knowledge mining, data visualization, and machine learning for text data; lectured for math and coding camps and research initiatives.
TeachingPh.D. in Political Science
Computational Social Science focus, University of Texas at Dallas.
- How AI Is Governed Presented at MPSA 2026
- Hardware Restrictions and AI Competition Presented at MPSA 2026
- LLM-Based Rhetoric Extraction from Censorship-Related Legal Texts Presented at SPSA 2026
- Contextualized Synthetic Control Presented at MPSA 2025
- UAV Hyperspectral Landmine and UXO Detection
- Media Bias and Democratic Backsliding
M.S. in Social Data and Analytics Research
University of Texas at Dallas.
M.S. in Computer Science
University of Colorado Boulder.
M.A. in Global Studies
Chinese University of Hong Kong.