Andrew Page
Chief Technology Officer at Origin Sciences
Uttlesford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolAndrew Page is a Chief Technology Officer and PhD computer scientist with 15 years of experience building scalable bioinformatics and cloud systems, currently leading technical strategy at Origin Sciences and serving as a Visiting Professor at the University of East Anglia. He has led large multidisciplinary teams and multimillion-pound programs—most recently heading informatics at the Quadram Institute and directing technical innovation at Theiagen—delivering reproducible, automated genomics pipelines and cloud transitions at scale. A hands-on engineer at heart, he authored widely used open-source tools (including Roary, a de facto standard for bacterial pan-genome analysis) and built high-performance, parallelized workflows and DevOps systems for massive NGS datasets. His track record spans lab automation, data standards creation, and operationalising pathogen genomics for public health during COVID-19, advising national groups and helping multiple countries with genomic surveillance. Known for turning research-grade methods into production-grade infrastructure, he blends deep academic rigor with pragmatic product delivery.
15 years of coding experience
14 years of employment as a software developer
PhD Computer Science, PhD Computer Science at Maynooth University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (13)
bioinformatics10
backend10
perl10
back-end-development10
scripting9
fileio9
file-access9
shell9
file-processing9
file-handling9
script9
sh9
makefile8
Programming languages (13)
Github contributions (5)
sanger-pathogens/Roary
Apr 2013 - Apr 2022
Rapid large-scale prokaryote pan genome analysis
Role in this project:
Backend Developer & DevOps Engineer
Backend Developer & DevOps EngineerContributions:12 releases, 860 commits, 215 PRs in 9 years 1 month
Contributions summary:Andrew primarily contributed to backend development tasks, implementing and modifying core functionalities within the project. They worked with tools for creating the pan genome from a set of protein sequences from FASTA files. The user also demonstrated DevOps skills, by creating a parallelized jobs system to execute external programs as part of the workflow.
pathogengenomeglobal-healthbioinformatics-pipelinenext-generation-sequencing
andrewjpage/tiptoft
Apr 2018 - Dec 2019
Predict plasmids from uncorrected long read data
Contributions:4 releases, 85 commits, 14 PRs in 1 year 8 months
biocondamachine-learningpredictlong-read-databioinformatics
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