Matt Colligan
Founding Engineer at Edra
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolMatt Colligan is a founding engineer with seven years of software experience, currently building Edra's platform in London. He brings a strong background in simulation and distributed systems from roles at Improbable and Kallikor, and practical product engineering experience from Plausible Analytics where he implemented robust data import/export features to aid migration from Google Analytics. Comfortable across back-end systems and APIs, he recently enhanced Plausible’s CSV exports to include richer metrics like bounce rate and time on page and added goal-based filtering—work that improved data consistency and utility. Trained as a neuroscientist (PhD, University of Edinburgh), he blends rigorous research thinking with pragmatic engineering to solve complex problems. Known to be hands-on (“yep, i also write code”), he thrives at the intersection of data, simulation, and privacy-conscious analytics.
7 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at The University of EdinburghBSc, Biology, BSc, Biology at Imperial College London
Github Skills (11)
unit-testing10
api10
csv-export10
phoenix-liveview10
test-unit10
web-analytics10
apidoc10
phoenix-framework10
exunit10
elixir10
apache-phoenix10
Programming languages (14)
Github contributions (5)
plausible/analytics
Oct 2021 - Jan 2022
Open source, privacy-first web analytics. Lightweight, cookie-free Google Analytics alternative. Self-hosted or cloud.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:27 reviews, 8 commits, 8 PRs in 2 months
Contributions summary:Matt focused on enhancing the CSV export functionality within the Plausible Analytics repository. They implemented features to include more data points like bounce rate and time on page in the exported CSV files. The contributions involved modifying API controllers to include additional metrics, updating tests to reflect the changes, and improving the overall data consistency and naming conventions for the API responses. Furthermore, the user added the ability to filter data based on goals, which expanded the export's utility.
google-analyticsweb-analyticsanalyticsprivacyelixir
DuguidLab/pixels-analysis
May 2021 - Oct 2022
Our own analyses using the pixels pipeline
Contributions:10 reviews, 44 pushes, 10 comments in 1 year 6 months
bioinformaticspixelspipelineanalyses
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.