My work focuses on how politics shapes the landscape of global trade and its implications for business, sustainable development, and international cooperation. Leveraging machine learning and neural network techniques, I bring new insights into the realms of trade in services, digital economy, development studies, and WTO research to enrich our understanding of the political economy of trade policy.
Prior to joining UMD, I worked with Legislator Shiow-Yen Lu as her chief of staff on the finance committee of the National Congress of Taiwan for six years. In this capacity, I was involved in central banking, financial and trade policy formation, and foreign economic affairs. I was also a fellow with the U.S. State Department's Legislative Fellows Program.
Areas of Interest
- Trade in Services, Digital Economy, WTO, Development
- Deep Learning
- Causal Inference
Degrees
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Degree TypeMIADegree DetailsColumbia University
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Degree TypeMPPDegree DetailsUniversity of Tokyo
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Degree TypeMADegree DetailsUniversity of Maryland
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Degree TypeBADegree DetailsNational Taiwan University
Research Topics
- Methodology
- International Relations
