Chen, Kung-Chen
Bio
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 as a 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 regulation, and trade policy. I was also a fellow with the U.S. State Department's Legislative Fellows Program.
Degrees
MIA | Columbia University
MPP | University of Tokyo
MA | University of Maryland
BA | National Taiwan University
Areas of Interest
- Trade in Services, Digital Economy, Development
- Deep Learning
- Causal Inference