John Stachurski

Chiropractor at Wellness Family Chiropractic

Madisonville, Kentucky, United States
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Summary

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Rockstar
🎓
Top School
John Stachurski is a Research Scientist in Canberra with 12 years’ experience applying stochastic dynamics and optimization to computational economics. A cofounder of QuantEcon and active open-source maintainer, he contributes across Python and Julia—implementing ARMA autocovariance and impulse-response routines and refining Kalman filtering code. He pairs rigorous research with pragmatic back-end development, shipping library code, documentation fixes, and educational examples that make complex numerical methods accessible. Known as a comp-econ OG and part-time code monkey, he excels at turning theoretical models into reliable, well-documented tools that accelerate teaching and reproducible research.
code12 years of coding experience
bookBachelor of Science (B.S.), Biology, General, Bachelor of Science (B.S.), Biology, General at Life University
bookDoctor of Chiropractic, Chiropractic, Doctor of Chiropractic, Chiropractic at Sherman College of Straight Chiropractic
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Github Skills (15)

dataanalysis10
timeseries10
time-series10
documentations10
python10
kalman-filter10
julia10
documentation10
data-analysis10
signal-processing9
digital-signal-processing9
numerical-methods9
math9
signalprocessing9
mathematics9

Programming languages (9)

JuliaSmartyTypeScriptCTeXJavaScriptHTMLJupyter Notebook

Github contributions (5)

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QuantEcon/QuantEcon.py

Mar 2013 - Nov 2022

A community based Python library for quantitative economics
Role in this project:
userBack-end Developer
Contributions:8 reviews, 282 commits, 60 PRs in 9 years 9 months
Contributions summary:John primarily worked on adding and reorganizing code within the repository. Their commits focused on incorporating new code differences including adding gitignore file and modifying existing files. The modifications primarily focused on code changes, which suggests work within the project.
python-librarycommunity-basedpythondata-sciencemachine-learning
A repository that houses example code, applications and teaching material related to QuantEcon
Role in this project:
userBack-end Developer
Contributions:136 commits in 1 year 3 months
Contributions summary:John primarily focused on fixing and improving existing documentation strings within example code related to the QuantEcon project. The majority of changes involved modifying code to fix issues related to example code. The user's contributions centered on refining examples related to numerical methods and model analysis.
teachingpythonmachine-learningdata-science
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