Economics × Finance × Data × AI Agents
Undergraduate researcher at the intersection of theoretical economics, financial systems, data analysis, and agent-assisted research.
Central University of Finance and Economics
My work focuses on problems that sit between economic theory and computational practice. I am particularly interested in how strategic interaction, financial constraints, and institutional design shape outcomes in digital and financial systems.
Current areas of interest include:
- coordination failure, strategic complementarity, and systemic risk;
- blockchain economics, miner entry and exit, and difficulty-adjustment mechanisms;
- international finance, financial risk management, and digital assets;
- causal inference, empirical replication, and reproducible economic research;
- agent-assisted workflows for research, coding, and personal knowledge management;
- analytical pipelines that combine personal digital traces with large language models.
Building reproducible tools for literature review, coding, document processing, and research verification.
Exploring privacy-conscious methods for structuring personal digital records for longitudinal analysis.
Developing reproducible workflows for data cleaning, econometric replication, robustness checks, visualization, and research documentation.
Research workflow
Question formulation
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Literature and source collection
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Model derivation or empirical design
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Agent-assisted coding and verification
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Robustness checks and adversarial review
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Reproducible output and documentation
I use AI systems as research instruments rather than substitutes for judgement. Important derivations, empirical results, and source claims remain subject to independent verification.