Patrick Leo
Principal Scientist, Digital Pathology
United States
Summary
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Top SchoolPatrick Leo is a Principal Scientist specializing in digital pathology and machine learning with eight years of experience translating computational imaging research into translational biotech applications. Trained in biomedical engineering (PhD candidate at Case Western Reserve University) and now at Genentech, he has progressed from graduate research assistant to senior and principal scientist roles focused on deploying ML-driven pathology solutions. He blends deep academic rigor with industry delivery, bridging algorithm development, histopathology expertise, and product-focused validation. Known for navigating both research and regulated development environments, he excels at turning complex image-analysis concepts into reproducible, production-ready systems.
7 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD Biomedical Engineering, Doctor of Philosophy - PhD Biomedical Engineering at Case Western Reserve University
Github Skills (19)
imagej9
image-processing9
in-progress9
javafx9
qupath9
digital-pathology9
groovy8
machine-learning7
opencv7
computer-vision6
segmentation6
survival-analysis6
python6
matlab5
survival5
Programming languages (5)
Github contributions (5)
pjl54/qupath_scripts
Dec 2018 - Feb 2021
Contributions:16 commits, 4 pushes, 1 branch in 2 years 2 months
pjl54/WSI_handling
Aug 2019 - May 2021
Class for getting ROIs and masks from annotated pyramidal images. A work in progress.
Contributions:9 releases, 79 commits, 4 PRs in 1 year 9 months
masksin-progresscomputer-visionimage-processingannotated
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