In 2025, I worked as an Economist/Data Scientist with Manho Kang, Kadee Russ, and James Waters on a research project evaluating how Trump’s trade policy affected the cost of imported medical goods and the U.S. healthcare system.

• Built a novel product-level trade policy database by extracting and standardizing information from 10,000+ pages of legal documents, creating a dataset with 10M+ records to track daily tariff changes across medical goods and source countries.
• Developed an original procedure to identify roughly 300 medical product categories from more than 10,000 import classification codes, improving the accuracy and granularity of healthcare trade policy measurement.
• Designed causal inference models to estimate tariff pass-through, demand elasticity, heterogeneous impacts across product groups, and the overall cost burden of trade policy on the U.S. healthcare system.
• Created documentation, summary tables, and analytical outputs that translated complex legal, trade, and statistical information into clear evidence for economists, policy researchers, and healthcare stakeholders.