Austin Adams
Founder at Whetstone Research
New York City Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolAustin Adams is a founder and researcher with seven years of experience at the intersection of quantitative economics, data science, and crypto markets, now leading Whetstone Research from New York. He spent two years at Uniswap Labs and contributed econometric tooling at the Federal Reserve Board, blending applied research with product-minded execution. A skilled Python contributor, he implemented the Oaxaca-Blinder decomposition in the widely used statsmodels library, reflecting both rigorous statistical thinking and practical open-source impact. His dual BS in Economics and Mathematics underpins work across market microstructure, capital markets, and crypto transaction products. Known as a "Doppler enjoyer," he brings a pragmatic curiosity—comfortable moving from deep statistical methods to shipping market-facing data products.
7 years of coding experience
5 years of employment as a software developer
University of Kansas
Stackoverflow
231reputation
11kreached
28answers
3questions
Github Skills (20)
python10
statistics10
econometrics10
numpy10
regression-models10
statsmodels10
data-analysis10
hypothesis-testing9
hypothesis-tests9
shell6
ruby-on-rails6
sed6
linux6
ruby6
java6
Programming languages (5)
Github contributions (5)
statsmodels/statsmodels
Jul 2019 - Sep 2019
Statsmodels: statistical modeling and econometrics in Python
Role in this project:
Data Scientist
Data ScientistContributions:15 commits, 4 PRs, 11 comments in 1 month
Contributions summary:Austin implemented the Oaxaca-Blinder decomposition, a statistical method used for analyzing group mean differences, within the statsmodels library. The code additions included the `OaxacaBlinder` class with methods for two-fold and three-fold decompositions, as well as variance calculations. Furthermore, the user added corresponding tests to validate the implementation and ensure the correctness of the decomposition results, including tests for different parameter options. The contributions focus on adding new econometric functionality to the library, aligning with the project's statistical modeling and econometrics focus.
forecastingpythonregression-modelsstatsmodelsstatistics
aadams/OaxacaBlinder.py
Jun 2019 - Oct 2021
Contributions:30 commits, 26 pushes, 2 branches in 2 years 3 months
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