Janos Gabler

Head Of Research & Engineering at appliedAI Institute for Europe gGmbH

Bonn, North Rhine-Westphalia, Germany
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Summary

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Senior
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Top School
Janos Gabler is an economist-turned-AI leader with nine years of experience applying statistics, numerical methods, and machine learning to real-world problems, now heading the TransferLab at appliedAI. He combines a strong academic pedigree (PhD summa cum laude from the University of Bonn) with hands-on software practice, authoring and maintaining the estimagic open-source optimization library and building Python packages for labor economics with JAX. Janos excels at simplifying complex models into pragmatic solutions, teaching advanced software engineering and deep learning to Masters and PhD students while shepherding community handovers of his projects. Outside code, he pursues tangible maker projects—bandsaws, pizza ovens and furniture—hinting at a pragmatic, build-first mindset that informs both his research and engineering leadership.
code10 years of coding experience
job2 years of employment as a software developer
bookBachelor’s Degree, Development Economics and International Development, Bachelor’s Degree, Development Economics and International Development at University of Bayreuth
bookPhD, Economics, PhD, Economics at The University of Bonn
bookVisiting Student, Economics, Visiting Student, Economics at Pontificia Universidad Católica del Perú
languagesGerman, English, Spanish
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Github Skills (63)

simulation10
algorithms10
scipy10
diagnostic-tool10
python10
economics10
game-theory10
markov-decision-processes10
parallel-computing10
numerical-optimization10
nlopt10
simulator9
data-quality9
reproducible-research9
power-systems9

Programming languages (5)

TeXJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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A conda-smithy repository for estimagic.
Contributions:4 reviews, 18 PRs, 19 pushes in 3 years
pythoncondasmithy
OpenSourceEconomics/pybaum

Jan 2022 - Dec 2022

Tools to work with pytrees.
Contributions:2 releases, 4 reviews, 5 commits in 10 months
python
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