Milan Bouchet-valat
Chargé De Recherche at Ined - Institut national d'études démographiques
Paris, Ile-de-France
Summary
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RockstarMilan Bouchet-Valat is a research engineer with 17 years of experience at INED in Paris, combining sociological research with deep technical expertise in data tooling and numerical computing. He contributes extensively to the Julia ecosystem and GNOME projects, improving CSV parsing, statistical libraries (GLM, StatsBase, DataFrames) and core numerical/runtime components of Julia and openlibm. Comfortable across back-end, DevOps and full-stack work, he has strengthened portability, performance and robustness in widely used open-source libraries and helped integrate system-level RNGs and math primitives. His profile blends rigorous social-science methods with low-level engineering—an unusual mix that enables reproducible, high-performance data workflows for demographic research.
17 years of coding experience
Github Skills (61)
git10
javascript10
csv-parse10
libgit210
lib10
multiplatform10
data-science10
gnome-shell10
dataframes10
statistics10
lm10
build-system10
code-library10
cross-platform10
c1110
Programming languages (14)
Github contributions (5)
JuliaData/DataFrames.jl
Nov 2013 - Sep 2022
In-memory tabular data in Julia
Role in this project:
Back-end Developer
Back-end DeveloperContributions:11 releases, 1313 reviews, 263 commits in 8 years 11 months
Contributions summary:Milan made several contributions related to improving the functionality of the dataframes.jl library, focusing on how data is read and parsed from various file formats, particularly CSV files. They implemented changes to allow the use of multiple quote characters, improved handling of missing values, and enhanced the codebase to work correctly with different data types and encodings when reading data. The user also addressed several bug fixes and deprecation warnings, mainly related to Julia language updates.
memorydataframesdatatabular-datadata-frame
JuliaStats/StatsBase.jl
May 2014 - Sep 2022
Basic statistics for Julia
Role in this project:Back-end Developer
Back-end DeveloperContributions:10 releases, 341 reviews, 98 commits in 8 years 5 months
Contributions summary:Milan primarily focused on improving the `statsbase.jl` library by enhancing the printing of p-values in coefficient tables and refactoring statistical functions. Their work involved modifying code related to printing and formatting numerical outputs for better readability. The user also made changes to the library's structure, such as moving function arguments to be consistent across the codebase and deprecating older functions. These contributions improve the usability and maintainability of the library.
summarizationstatisticsstatistical-modelsjulia
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