John Stachurski
Chiropractor at Wellness Family Chiropractic
Madisonville, Kentucky, United States
Summary
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Rockstar🎓
Top SchoolJohn Stachurski is a chiropractor with 13 years of clinical experience running Wellness Family Chiropractic in Madisonville, Kentucky, who moonlights as a quantitative researcher and code contributor in stochastic dynamics and numerical methods. He combines hands-on patient care and chiropractic expertise with active open-source work on the QuantEcon project, contributing ARMA and Kalman filter implementations in Julia and improvements across Python resources. His background in biology (B.S., Life University) and a Doctor of Chiropractic informs a pragmatic, analytical approach to problem solving that spans anatomy to algorithms. As a cofounder-level contributor on QuantEcon, he brings domain knowledge in time series, optimization, and signal processing to teaching-oriented code and library development. Notably, he balances a small-practice clinical career with meaningful back-end development on widely used quantitative-economics toolkits, demonstrating rare interdisciplinary depth.
13 years of coding experience
Bachelor of Science (B.S.), Biology, General, Bachelor of Science (B.S.), Biology, General at Life UniversityDoctor of Chiropractic, Chiropractic, Doctor of Chiropractic, Chiropractic at Sherman College of Straight Chiropractic
Github Skills (11)
time-series10
python10
kalman-filter10
documentation10
julia10
data-analysis10
signal-processing9
digital-signal-processing9
math9
numerical-methods9
mathematics9
Programming languages (9)
Github contributions (5)
QuantEcon/QuantEcon.py
Mar 2013 - Nov 2022
A community based Python library for quantitative economics
Role in this project:
Back-end Developer
Back-end DeveloperContributions: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
rtvt123/QuantEcon.applications
Nov 2015 - Feb 2017
A repository that houses example code, applications and teaching material related to QuantEcon
Role in this project:Back-end Developer
Back-end DeveloperContributions: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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