Finlay Maguire
Assistant Professor at Dalhousie University
Halifax, Nova Scotia, Canada
Summary
👤
Senior🎓
Top SchoolFinlay Maguire is an Associate Professor and interdisciplinary researcher with ~12 years’ experience applying computational genomics and data science to infectious disease surveillance, diagnostics, and antimicrobial resistance. He bridges computer science and epidemiology, leading pathogenomics bioinformatics for a major Toronto hospital network while holding academic appointments at Dalhousie and Sunnybrook. His work combines machine-learning methods for resistance gene discovery with practical public-health tools—e.g., SARS-CoV-2 workflows and QC standards adopted internationally—and contributions modernizing widely used bioinformatics tooling like the ete phylogenetics toolkit. Comfortable operating across research, clinical and government settings, he routinely turns complex multi-modal datasets (genomes, EHRs, social media) into actionable insights. Colleagues value his ability to pair rigorous method development with hands-on production deployment in high-stakes public-health environments.
11 years of coding experience
1 year of employment as a software developer
Master of Arts, Natural Sciences - Biological Sciences, Master of Arts, Natural Sciences - Biological Sciences at University of OxfordHigh School, High School at North Berwick High SchoolUniversity College London
English, German, French
Github Skills (6)
debug10
python10
phylogenetics10
code-migration9
data-structures8
data-structure8
Programming languages (15)
Github contributions (5)
etetoolkit/ete
Apr 2015 - Jul 2015
Python package for building, comparing, annotating, manipulating and visualising trees. It provides a comprehensive API and a collection of command line tools, including utilities to work with the NCBI taxonomy tree.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:14 commits, 4 PRs in 2 months
Contributions summary:Finlay primarily contributed to modernizing and improving the Python code within the ete toolkit, focusing on Python 3 compatibility. They addressed parsing errors and deprecated functionalities, specifically related to the `cmp` operator and filter functions, ensuring the code's smooth operation across different Python versions. They also fixed problems related to unicode and various other parsing issues within the ncbi_taxonomy module. These changes involved updating code idioms, using `six` library, and adapting code to python3 style.
comparingapitreesphylogeneticspython
fmaguire/pangolin_specific_version_tool
Oct 2021 - Jul 2022
Contributions:8 commits, 4 pushes, 1 tag in 8 months
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