Nick Eubank
Research Scientist at Academia
Stanford, California United States
Summary
👤
Senior🎓
Top SchoolNick Eubank is a research scientist and post-doctoral fellow at Stanford who applies quantitative methods to study economic development, political accountability, and how social networks shape collective action. With 11 years of experience spanning academia and policy work at institutions like the World Bank and Duke, he blends large-scale, policy-relevant data analysis—most notably a dissertation using six months of geocoded telecom metadata covering over 2 billion interactions—with rigorous econometric and computational tools. He contributes to open-source projects in both Julia and Python, adding diffusion simulation and testing to LightGraphs.jl and improving GeoPandas documentation, reflecting a rare mix of empirical social science and production-grade technical contributions. Based in Stanford, he pairs a PhD in Political Economy with practical field survey and geospatial analysis experience, enabling data-driven insights that inform policy and development practice.
11 years of coding experience
Doctor of Philosophy (PhD), Political Economy, Doctor of Philosophy (PhD), Political Economy at Stanford University Graduate School of BusinessBachelor of Arts (BA), Economics, International Relations, Bachelor of Arts (BA), Economics, International Relations at Pomona CollegeMaster of Arts (MA), Economics, Master of Arts (MA), Economics at Stanford University
Spanish, English
Github Skills (12)
pandas10
graph-algorithms10
geospatial10
set-operations10
python10
julia10
documentation10
testing10
data-structure9
sphinx9
jupyter-notebook9
data-structures9
Programming languages (15)
Github contributions (5)
sbromberger/LightGraphs.jl
Jul 2017 - Jan 2018
An optimized graphs package for the Julia programming language
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:8 commits, 14 PRs, 106 comments in 5 months
Contributions summary:Nick primarily focused on enhancing the `lightgraphs.jl` package, specifically implementing diffusion simulation capabilities and associated testing. They added the diffusion model, refined its implementation, and improved test coverage to ensure functionality and type stability. The user also addressed build errors and optimized code through memory allocation adjustments. They also made improvements to the documentation.
graphsoptimizedjulia-programming-languagegraph-drawinggraph
geopandas/geopandas
Apr 2016 - May 2016
Python tools for geographic data
Role in this project:Technical Writer & Documentation Specialist
Technical Writer & Documentation SpecialistContributions:7 commits, 19 PRs, 159 comments in 1 month
Contributions summary:Nick's contributions primarily focused on updating and expanding the project's documentation. This included modifying existing documentation files, adding new examples, and creating content related to geometric manipulations, set operations, and aggregation with the dissolve function. Additionally, the user addressed documentation-related bug fixes and improved the overall clarity and accessibility of the documentation. Their work aimed to improve user understanding of the geopandas library.
pythongeographygeographic-datapython-toolsgeopandas
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