Olivier Binette

Computational Legal Scientist

Durham, North Carolina, United States
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Summary

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Senior
🎓
Top School
Olivier Binette is a research scientist in machine learning with eight years of experience bridging academic statistics and applied data science. He holds a PhD in Statistics from Duke and has applied probabilistic and causal methods across roles at Upstart, the American Institutes for Research, and research stints at Los Alamos. Olivier thrives on turning complex problems into simple, robust solutions—evident in a portfolio of projects on GitHub that complement his production-focused work. His background spans consulting, industry data science, and graduate research, giving him fluency in both experimental design and deployable ML systems. Based in Durham, NC, he brings a rare combination of rigorous statistical training and hands-on engineering that accelerates evidence-driven product decisions.
code9 years of coding experience
job5 years of employment as a software developer
bookPhD, Statistics, PhD, Statistics at Duke University
bookMaster of Science - MS, MATHEMATICS AND STATISTICS, Master of Science - MS, MATHEMATICS AND STATISTICS at UQAM | Université du Québec à Montréal
languagesFrench, English
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Github Skills (125)

python10
record-linkage10
pandas-dataframe10
levenshtein-distance10
duckdb10
deep-learning10
mlmodel10
patentsview10
data-validation10
statistics10
duplicate-detection10
jaro-winkler10
data-matching10
sql10
disambiguation10

Programming languages (10)

TypeScriptRShellC++CTeXJavaScriptHTML

Github contributions (5)

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OlivierBinette/dgaFast

Sep 2020 - Aug 2022

Multiple Systems Estimation Using Decomposable Graphical Models. This is an efficient re-implementation and extension of the dga R package.
Contributions:4 PRs, 76 pushes, 7 branches in 1 year 11 months
graphical-modelsrr-package
OlivierBinette/MSETools

Dec 2020 - Aug 2022

Contributions:1 release, 26 commits, 15 pushes in 1 year 8 months
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