Summary
David Coyne is a Financial Economist with a decade of applied experience in public economics and fiscal policy, currently shaping tax and federal finance analysis at the U.S. Department of the Treasury. He brings a strong empirical toolkit—Stata, R, GAUSS, Python and C++—and a research track record spanning program evaluation, education finance, and fiscal federalism developed through roles at the FTC, Federal Reserve Bank of Boston, and UC San Diego. A Ph.D. economist trained at UC San Diego with undergraduate roots in quantitative economics from Tufts, he blends rigorous academic methods with practical policy implementation. Comfortable translating complex econometrics into actionable recommendations, he also leverages web and scripting skills (HTML/CSS/JavaScript) to make research more accessible to stakeholders. An unusual strength is his sustained experience across both research-intensive academic settings and high-impact federal agencies, giving him a rare vantage on how evidence informs policy decisions.
10 years of coding experience
4 years of employment as a software developer
University of California San Diego
B.S., Quantitative Economics, B.S., Quantitative Economics at Tufts University
The University of Hong Kong (HKU)