Peking University | Advisor: Prof. Wenjia Zhang

October 2023 – December 2024 | Shenzhen, CN

• Bridged gaps in spatial sentiment quantification and causal inference by applying large language models (LLMs) to long-term Shenzhen–Hong Kong cross-border social media data. Developed a pipeline integrating LLM-based sentiment analysis with interrupted time series (ITS) modeling to evaluate regional integration policy impacts.
• Handled data collection, algorithm development, analysis, visualization, and full manuscript writing.
• Two papers accepted at international conferences; extended versions in preparation for journal submission.