Thomas Blanchet
Quantitative Technologist
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolThomas Blanchet is a quantitative technologist and data-focused software engineer with 11 years of experience blending applied economics, machine learning, and production engineering. With a PhD in economics and an ENSAE masters in ML, he has built large-scale data infrastructures—from managing the World Inequality Database with millions of observations to deploying near-real-time financial health pipelines for a $30M portfolio. He ships end-to-end solutions across the stack, including Bayesian models, R packages and TypeScript/React dashboards, and has collaborated with institutions like INSEE, OECD and the UN to standardize data methodologies. Now at Qube Research & Technologies, he applies rigorous research-grade practices to quantitative engineering problems, bringing an unusually strong mix of academic rigor and production-ready software craftsmanship.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Economics, Doctor of Philosophy - PhD, Economics at Paris School of EconomicsMaster's degree, Data Science — Statistics and Machine Learning, Master's degree, Data Science — Statistics and Machine Learning at ENSAE ParisBachelor's degree, Mathematics and Physics, Bachelor's degree, Mathematics and Physics at Collège Stanislas Paris
French, English
Github Skills (11)
inequality9
r-package9
stata8
database7
shiny7
r6
rstudio6
reactive5
survey5
web-development5
interpolation5
Programming languages (2)
Github contributions (5)
thomasblanchet/wid-r-tool
May 2017 - Nov 2022
Contributions:20 commits, 16 pushes, 1 branch in 5 years 6 months
thomasblanchet/gpinter-replication
Apr 2017 - Jun 2020
Contributions:8 commits, 1 push in 3 years 3 months
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