Robin Linacre is a data scientist with 11 years' experience applying econometrics and scalable engineering to public-sector problems, currently at the UK Ministry of Justice. He is the lead developer of Splink, an open-source probabilistic record linkage library with over 15 million downloads that brings fast, SQL-backed matching to large administrative datasets. With a background in economics (MSc Distinction) and roles spanning economics, data science leadership and advisory work across UK government departments, he blends statistical rigor with production-focused software engineering. Robin’s contributions to core matching algorithms and custom comparison support in Splink reflect a focus on accuracy, performance and real-world usability for privacy-sensitive linked data.
11 years of coding experience
1 year of employment as a software developer
MSc, Economics, Distinction, MSc, Economics, Distinction at Birkbeck College, University of London
BA, Economics, econometrics and finance, First with distinction, BA, Economics, econometrics and finance, First with distinction at University of York
Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends
Role in this project:
Data Scientist
Contributions:96 releases, 476 reviews, 1670 commits in 3 years 2 months
Contributions summary:Robin made contributions to the probabilistic data linkage project, specifically implementing examples and enabling support for custom comparisons. The commits involve changes to settings, and code related to case expressions, demonstrating the user's involvement in adapting and refining the project's matching functionality. Furthermore, the user made changes to expectation step and gamma calculations demonstrating their focus on developing core functionality of the project.
Contributions:1 release, 74 PRs, 201 pushes in 10 months
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