François Briatte
Assistant Lecturer In Political Science at Sciences Po
Paris, Ile-de-France
Summary
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Rockstar🎓
Top SchoolFrançois Briatte is an assistant lecturer in political science based in Paris with 15 years of experience combining academic teaching at Université Catholique de Lille and guest lectures at Sciences Po with hands-on computational research. He is a political scientist specializing in network analysis who programs in R and Stata and has an MSc by Research from the University of Edinburgh. An active open-source contributor, he has extended ggplot2-based visualization tools (notably adding ggcorr and ggnet) and contributed tidy methods for network models to the widely used broom and ggally projects. Beyond teaching and publishing, he builds practical tooling—such as a robust link-checker for his curated "awesome network analysis" resources—demonstrating a focus on reproducibility and usability. Fluent in French and English, he brings academic rigor to applied data-science workflows bridging political science theory and scalable analysis.
15 years of coding experience
MSc by Research, MSc by Research at The University of EdinburghMSc, MSc at Institut d'Etudes Politiques de Grenoble
English, French, black coffee, r, stata, javascript, php, html, css, sql
Stackoverflow
2,855reputation
343kreached
65answers
27questions
Github Skills (19)
data-visualizations10
stringr10
network-analysis10
r10
statistics10
data-visualisation10
statistic10
tidy10
tidyr10
data-visualization10
ggplot10
modeling10
automated-tests8
lubridate6
stata6
Programming languages (16)
Github contributions (5)
briatte/awesome-network-analysis
Apr 2016 - Nov 2021
A curated list of awesome network analysis resources.
Role in this project:
Backend Developer
Backend DeveloperContributions:7 releases, 2 reviews, 283 commits in 5 years 8 months
Contributions summary:François primarily focused on developing a link checker tool within the repository. Their contributions involved creating an R script to validate URLs found in the project's README, logging errors to a file, and iteratively improving the script's functionality, including cumulative checking and ignoring specific URL patterns. The user's work aimed to ensure the accuracy and maintainability of the project's external links.
social-network-analysisnetwork-visualizationcomplex-networkssnapolitical-networks
tidymodels/broom
Aug 2015 - Aug 2019
Convert statistical analysis objects from R into tidy format
Role in this project:Data Scientist
Data ScientistContributions:7 commits, 6 PRs, 39 comments in 4 years
Contributions summary:François contributed to the `broom` package, which focuses on tidying statistical analysis objects in R. Their commits primarily involved creating and modifying tidiers for the `ergm` and `btergm` models from the `ergm` and `xergm` packages. These changes included adding methods for the `tidy`, and `glance` functions, and correcting bugs related to handling confidence intervals, exponentiation, and deviance calculations.
r-packagestatisticshypothesis-testingregression-modelstidymodels
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