Gábor Nyéki
Software Engineer
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolGábor Nyéki is a software engineer and labor economist with 13 years of experience applying causal inference, machine learning, and programmatic source-code analysis to study what makes engineers effective. He has led and supervised multidisciplinary research teams at Princeton and taught econometrics and programming as an assistant professor, mentoring and placing students into top PhD programs. His work blends rigorous field experiments and large-scale data processing—ranging from randomized trials in Kenya to automated web-based data extraction—grounded in a Duke PhD in Economics. Comfortable both in the lab and with production code, he describes himself as an "economist programmer," bringing empirical rigor to technical questions about workforce productivity. An underappreciated strength is his track record of turning messy human-input data into reproducible datasets and insights that inform policy and hiring decisions.
13 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Economics, Doctor of Philosophy - PhD, Economics at Duke UniversityMA, Economics, MA, Economics at Central European UniversityBA, Management and Business Administration, BA, Management and Business Administration at Corvinus University of Budapest
Hungarian, English, Spanish
Github Skills (47)
r-package8
linux-mint6
cran5
frame5
peek5
csv5
mixed-models5
linear-models5
anova5
r5
prediction-model5
kernel4
interoperability4
draw4
cffi4
Programming languages (6)
Github contributions (5)
gn0/sacsv
Dec 2018 - Jun 2022
Contributions:18 commits, 14 pushes, 1 branch in 3 years 5 months
gn0/json-this
Dec 2018 - Feb 2019
Contributions:14 commits, 8 pushes, 1 branch in 2 months
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