About
I am an undergraduate student at Minzu University of China, majoring in Public Service Management and pursuing a micro-major in Intelligent Management and Business Data Analytics.
My interests lie broadly at the intersection of artificial intelligence, computational methods, and the social sciences. Rather than limiting myself to a single disciplinary tradition, I am interested in how data analysis, machine learning, natural language processing, and quantitative methods can help us understand real-world questions in public policy, economics, and society.
In my previous work, I have worked with large-scale social-media data, policy documents, and city-level panel data, using Python and Stata for text analysis, statistical modeling, and empirical research. I am also interested in turning research workflows into practical tools, one example being WeiboFish.
Looking forward, I hope to pursue further study at the intersection of AI / computer science and the social sciences, while gaining more exposure to industry and real-world social settings.
Education
Sep. 2023 — Jun. 2027 (Expected)
Minzu University of China
B.M. Candidate in Public Service Management
Micro-major: Intelligent Management and Business Data Analytics
Selected coursework
- Machine Learning and Data Mining
- Business Data Analytics
- Social Science Data Analysis
- Public Policy Analysis
Research Interests
Computational Social Science
- Social Computing
- Large-scale Behavioral Data
- Text-as-Data
- Network & Spatial Analysis
- Causal Inference
AI & Society
- AI for Social Science
- Human-AI Interaction
- Algorithmic Governance
- AI-assisted Decision Making
- Social & Organizational Impacts of AI
Public Policy & Digital Governance
- Policy Effects
- Policy Mixes
- Digital Governance
- Government–Public Interaction
- Technology & Public Policy
Quantitative & Computational Methods
- Machine Learning
- Natural Language Processing
- Econometrics
- Causal Inference
- Data Visualization
Methods & Tools Used in Research & Prototyping
The items below reflect methods and tools used in research or prototype projects. They describe project-based experience; software implementation was carried out primarily with AI coding agents.
Tools
- Stata | Panel-data and causal-inference workflows
- Python | Data processing, code reading/modification, and AI-assisted analysis
- Excel | Basic data processing and validation
- Git / GitHub | Repository and version management
- Streamlit | AI-assisted research prototype development
- Codex / AI Agents | Requirements implementation, debugging, and iteration
- Word | Academic writing and complex document formatting
Awards & Recognition
Beijing Municipal Undergraduate Research & Entrepreneurship Action Plan
Project Lead · Completed
14th Future Designer · National College Digital Art & Design Awards (NCDA)
Second Prize, National Finals · Undergraduate Division · Team Award
Project: Linggou Xinyun: Innovative Zodiac Pattern Design Inspired by Ninigou
Second-Class Academic Scholarship
Minzu University of China · 2025–2026 Academic Year
Second-Class Academic Scholarship
Minzu University of China · 2024–2025 Academic Year
Foreign Language Proficiency
English