Katie Barr
Bioinformatician- Associate Principal Scientist
Manchester, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolKatie Barr is an Associate Principal Scientist and bioinformatician with 11 years’ experience applying advanced computational methods to pathogen detection, genome assembly and ML-driven read classification. With a PhD in Quantum Information and a background in numerical simulation, she combines theoretical rigor with practical software engineering—designing modular Python pipelines that analyze nanopore metagenomic data in constrained environments and meet strict true/false positive metrics. She has driven algorithm development for complex assemblies and mobile pathogen-detection products, collaborates with AI teams on deep-learning read feature prediction, and contributes to NATO bioaerosol harmonization efforts. Outside her day job she continues quantum information research with her PhD supervisor, reflecting an ongoing commitment to cutting-edge theory as well as deployable, production-ready bioinformatics.
11 years of coding experience
5 years of employment as a software developer
MSc, Mathematical Logic and the Theory of Computation, MSc, Mathematical Logic and the Theory of Computation at The University of ManchesterDoctor of Philosophy (PhD), Quantum Information, Doctor of Philosophy (PhD), Quantum Information at University of LeedsBachelor of Science (BSc), Physics and Philosophy with study in Continental Europe, Bachelor of Science (BSc), Physics and Philosophy with study in Continental Europe at University of Bristol
English, French
Github Skills (30)
genomes8
minhash8
assembly7
bioinformatics7
sequence7
genome7
pipeline6
illumina5
genomics5
assembler5
structural-variation5
statistics5
graph5
python5
caller4
Programming languages (7)
Github contributions (5)
kebarr/raman_analysis
Jul 2019 - Nov 2019
Contributions:125 pushes, 2 branches in 4 months
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