Andrew Doyle
Product Manager at Broadsign
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolAndrew Doyle is a product manager and research scientist with 11 years of experience applying signal processing and machine learning to scientific discovery and creative applications. Based in Montreal, he transitioned from hands-on research roles at McGill and Elekta—where he worked on MRI/EEG ML, sensor synchronization, and Kinect-based tracking—into product roles at Broadsign, now leading product initiatives. He blends deep technical fluency (C++, ML, web services) with user-focused product development, having taught deep learning and built research platforms like CBRAIN. His background in film archive automation and avionics tooling shows a practical knack for turning messy real-world data into reliable systems. Comfortable bridging academia and industry, he brings both experimental rigor and a bias for shipping. A less obvious strength: he pairs technical depth with governance experience from time on McGill’s Academic Senate, informing thoughtful product policy and stakeholder negotiation.
11 years of coding experience
10 years of employment as a software developer
2005 Diploma of Collegial Studies Liberal Arts, 2005 Diploma of Collegial Studies Liberal Arts at Dawson CollegeRWAMaster of Engineering (M.Eng.) Electrical and Electronics Engineering, Master of Engineering (M.Eng.) Electrical and Electronics Engineering at McGill University
English, French
Github Skills (104)
ruby10
data-processing10
high-performance10
science10
large-data10
mri9
python9
gpu9
deep-learning9
ruby-on-rails9
insert9
data-formats9
machine-learning9
hpc9
segmentation9
Programming languages (11)
Github contributions (5)
crocodoyle/baby-seg
Apr 2017 - Dec 2017
Contributions:633 commits, 616 pushes, 6 branches in 7 months
crocodoyle/cbrain
Jun 2016 - Sep 2017
CBRAIN is a flexible Ruby on Rails framework for accessing and processing of large data on high-performance computing infrastructures.
Contributions:8 PRs, 269 pushes, 70 branches in 1 year 3 months
ruby-on-railsrails-frameworkcbrainlarge-datahigh-performance-computing
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