Paul Goldsmith-Pinkham is an Associate Professor of Finance at Yale School of Management who brings rigorous empirical methods to real-world finance questions. A Harvard Ph.D. in Economics with an undergrad in Economics and Mathematics from Swarthmore, he spent formative years as an economist at the Federal Reserve Bank of New York before entering academia. He is skilled at turning advanced causal-inference concepts into reproducible teaching tools—his applied-methods-phd GitHub repo includes R code and visualizations for randomization, propensity scores, survival curves, and likelihood demonstrations used in PhD coursework. Based in New York, he blends policy experience, pedagogical clarity, and research depth to train empirical researchers and address practical financial problems.
11 years of coding experience
6 years of employment as a software developer
B.A., Economics,Mathematics, B.A., Economics,Mathematics at Swarthmore College
Doctor of Philosophy (Ph.D.), Economics, Doctor of Philosophy (Ph.D.), Economics at Harvard University
Repo for Yale Applied Empirical Methods PHD Course
Role in this project:
Data Scientist
Contributions:1 review, 147 commits, 3 PRs in 2 years
Contributions summary:Paul contributed to the applied empirical methods course by implementing and visualizing concepts related to randomization, propensity scores, and causal inference. They wrote R code to generate histograms, density plots, and survival curves to illustrate theoretical concepts. The user also created code to demonstrate the effect of treatment and model the likelihood function using code examples.
Contributions:304 commits, 4 PRs, 494 pushes in 7 years 7 months
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