Paul Tran is an economist with a decade of experience blending rigorous macroeconomic research, forecasting, and applied data work, joining the U.S. Department of the Treasury’s Office of Macroeconomic Analysis in 2026. He holds a PhD in progress from UT Austin with strengths in macro, monetary economics, text analysis, and machine learning, and has repeatedly translated research into operational forecasting tools at the Federal Reserve Board. His work building high-frequency news-intensity indices and incorporating measurement error into GDP and output-gap estimates supported FOMC forecasting and briefings used at senior levels. A seasoned instructor at UT Austin with strong student evaluations and an advanced teaching certificate, he communicates complex methods clearly to both students and policy audiences. Paul’s technical toolkit spans Bash, Python, R, FAME, (P)SQL, SAS, and Stata, enabling reproducible workflows across large administrative and news datasets. He pairs academic depth with practical policy experience, notably producing internal analyses that informed Chair-level communications and cross-division memos.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Economics, Doctor of Philosophy - PhD, Economics at The University of Texas at Austin
Bachelor of Arts - BA, Mathematics and Mathematical Economics, Bachelor of Arts - BA, Mathematics and Mathematical Economics at Pomona College
Contributions:254 pushes, 6 branches in 5 years 4 months
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Paul Tran - Economist at U.S. Department of the Treasury