Ian Sudbery
Senior Lecturer In Bioinformatics
Sheffield, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolIan Sudbery is a Senior Lecturer in Bioinformatics with 14 years of experience combining wet-lab insight and computational genomics to answer directed biological questions, particularly around gene regulation and microRNA circuitry. Trained at Cambridge and the Sanger Institute and shaped by a CGAT fellowship at Oxford, he bridges experimental design and large-scale NGS analysis, routinely translating complex datasets into biological interpretation. He contributes to notable open-source tooling for NGS—work on the widely used UMI-tools project highlights practical improvements to UMI deduplication and memory-efficient read processing. Based in Sheffield, he leads research and teaching while maintaining hands-on bioinformatics development, reflecting a rare mix of bench experience and production-grade software contributions. Colleagues value his ability to spot biologically meaningful signals in noisy sequencing data and to implement robust computational solutions that scale.
14 years of coding experience
2 years of employment as a software developer
PhD, Genomics, PhD, Genomics at Wellcome Trust Sanger Inst/University of CambridgeBachelor of Arts, Natural Sciences, Bachelor of Arts, Natural Sciences at University of CambridgeBiology, Chemistry, Mathematics, Further mathematics and General Studies, Biology, Chemistry, Mathematics, Further mathematics and General Studies at King Edward VII School
Stackoverflow
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14answers
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top-5%
Github Skills (16)
bioinformatics10
python10
bam10
data-analysis10
algorithms9
r9
data-structure9
algorithm9
code-optimization9
data-structures9
heatmap6
pandas6
ggplot6
cluster-analysis6
rpy26
Programming languages (12)
Github contributions (5)
CGATOxford/UMI-tools
Jun 2015 - Jan 2023
Tools for handling Unique Molecular Identifiers in NGS data sets
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 reviews, 176 commits, 57 PRs in 7 years 8 months
Contributions summary:Ian primarily contributed to the core functionality of the umi-tools project. Their work focused on extending the `dedup_umi.py` script by adding options for counting whole contigs and implementing memory-saving changes in the random read generator. Additionally, the user improved the performance and functionality of the tools by modifying and refactoring key functions related to UMI analysis and read processing within the dedup command, and also the addition of the prepare-for-rsem script. They made additional commits that show improved functionality and fixing of errors within the source code.
data-setsngsmolecularbioinformaticshandling
CGATOxford/UMI-tools_pipelines
Apr 2016 - Jun 2022
Contributions:37 commits, 21 pushes, 4 comments in 6 years 3 months
umipipelinegenomicsscrna-seqbioinformatics
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