Fabian Greimel
Assistant Professor at Universität Wien
Amsterdam, North Holland, Netherlands
Summary
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Rockstar🎓
Top SchoolFabian Greimel is an Assistant Professor of Economics with a decade of experience bridging academic research, teaching, and practical analysis across Vienna and Amsterdam. He holds a PhD in Economics from Universität Mannheim and has taught and conducted research on mechanism design, political economy, financial markets, and household leverage. Beyond academia, he contributed as a back-end developer to the popular Makie.jl visualization library—improving line styles and refactoring barplot code to remove DataFrames dependency—demonstrating hands-on coding and reproducible-data skills. His background also includes journalism and policy-oriented research, giving him an uncommon ability to communicate complex economic findings to broader audiences. Now based in Amsterdam and recently appointed at Universität Wien, he combines rigorous quantitative training with experience in pedagogy and open-source development.
10 years of coding experience
6 years of employment as a software developer
Master of Science (MSc), Economics, Master of Science (MSc), Economics at Institut für Höhere Studien (Institute for Advanced Studies), ViennaBachelor's degree, Economics, Bachelor's degree, Economics at WU (Wirtschaftsuniversität Wien)Economics, Economics at Yale UniversityDoktor (Ph.D.), Economics, Doktor (Ph.D.), Economics at Universität Mannheim
German, English, French
Github Skills (9)
data-visualizations10
data-visualization10
data-visualisation10
back-end-development10
plot10
julia10
graphic9
testing9
gpu5
Programming languages (11)
Github contributions (5)
MakieOrg/Makie.jl
Aug 2020 - May 2022
Interactive data visualizations and plotting in Julia
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 reviews, 19 commits, 5 PRs in 1 year 8 months
Contributions summary:Fabian primarily contributed to improving the `makie.jl` plotting library. Their work focused on enhancing line styles, including adding new patterns and fixing related issues. The user also refactored and optimized the barplot recipe, removing a dependency on `DataFrames` and improving the handling of stacked and grouped bar charts. Moreover, they added tests for the barplot functionality to ensure the correctness and reliability of the code.
julia-languagegpuvisualizationsdata-visualizationplotting
greimel/greimel.eu
Apr 2018 - Jan 2022
Contributions:59 pushes, 2 branches in 3 years 9 months
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