Assistant Professor Of Research at Department of Public Health and Primary Care, University of Cambridge
Cambridge, England, United Kingdom
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Summary
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Scott Ritchie is an assistant professor of research and computational epidemiologist with 12 years' experience building reproducible pipelines and predictive models for large-scale biobank and multi-omics data. Based in Cambridge, he has led development of a widely used metabolomics technical-variation pipeline and metabolomics-based 10-year cardiovascular risk scores, and contributed machine learning models that predict multi-omics traits from genotype. He blends hands-on software engineering (including bug fixes and feature work on the high-profile R data.table package) with academic leadership—supervising PhD/postdocs, coordinating major cohort data access, and co-directing PhD admissions. His background in systems biology, bioinformatics and machine learning underpins a rare mix of statistical genetics, high-performance data management, and practical teaching experience from classroom to online platforms. Colleagues rely on him for translating complex genomic and proteomic analyses into robust, production-ready workflows that inform public-health decision making.
Contributions:289 commits, 21 PRs, 116 pushes in 2 years 3 months
Contributions summary:Scott contributed to the `data.table` package by fixing bugs related to merging and column name handling. They implemented a new argument for the `merge.data.table` function and allowed the use of a single column as rownames in the `as.matrix.data.table` function. Their work primarily involved modifying existing R code to enhance the functionality and address specific issues within the data manipulation package.
Contributions:33 commits, 18 pushes, 1 branch in 1 year 7 months
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