Michael Schumaker
Software Engineer at University of Toronto
Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolMichael Schumaker is a software engineer and machine learning specialist with nine years of experience building C++ and Python systems for biomedical research and particle physics. He holds a PhD in Nuclear Physics and has a proven track record delivering production software—from data acquisition and large infrastructure for experiments to Dockerized ML pipelines and image-analysis plugins for digital pathology. At Sunnybrook he led small teams to ship clinical-grade tooling that combined image processing, annotation workflows, and deep-learning support, while collaborating directly with surgeons and pathologists. His background in detector simulation and hands-on experiment construction gives him uncommon expertise in high-throughput data systems and rigorous scientific validation. Known for pragmatic code optimization and reproducible workflows, he bridges research and production to accelerate translational medical projects.
9 years of coding experience
20 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Nuclear Physics, Doctor of Philosophy (Ph.D.), Nuclear Physics at University of Guelph
English, French
Github Skills (62)
reproducible-research10
open-source10
segmentation10
region10
medical-imaging10
percentage10
image-processing9
qt9
neuroimaging9
vtk9
itk9
python8
cross-platform8
3d-printing8
medical-image-computing8
Programming languages (6)
Github contributions (5)
SRI-RSST/Phindr3D
May 2022 - Dec 2023
Contributions:54 reviews, 120 PRs, 96 pushes in 1 year 7 months
sedeen-piip-plugins/StainAnalysis-plugin
Mar 2018 - Mar 2022
This plugin calculates the percentage area of a region of interest which has been stained using an IHC biomarker.
Contributions:55 commits, 23 PRs, 11 pushes in 4 years
biomarkerinterestregionregion-of-interestpercentage
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