Daniel Blezek
AI Scientist at Mayo Clinic
Rochester, Minnesota, United States
Summary
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Rockstar🎓
Top SchoolDaniel Blezek is an AI Scientist at Mayo Clinic with 25 years of experience applying software engineering and medical imaging expertise to clinical research and production systems. He holds a PhD in Biomedical/Medical Engineering and a BS in Computer Engineering, and his career spans roles from GE Global Research to long-tenured software leadership at Mayo, where he advanced from lead programmer-analyst to medical physicist and AI scientist. A practical full-stack contributor to major open-source medical imaging projects—MRtrix3, SimpleITK, ITK, CTK and PyRadiomics—he has improved visualization tools, cross-platform scripting, DICOM networking, and reproducible containerized workflows. His work combines low-level back-end engineering, GUI/visualization enhancements, and DevOps automation, reflecting both systems-level thinking and attention to clinical usability. Notably, he implemented tractography display controls and file writers in MRtrix3 and introduced Docker-backed notebook examples for PyRadiomics, bridging research code and reproducible analysis. Based in Rochester, Minnesota, he brings deep domain knowledge that turns imaging algorithms into robust, deployable tools for healthcare.
25 years of coding experience
20 years of employment as a software developer
Bachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at University of MinnesotaDoctor of Philosophy (Ph.D.), Biomedical/Medical Engineering, Doctor of Philosophy (Ph.D.), Biomedical/Medical Engineering at Mayo Graduate School
Stackoverflow
4,549reputation
274kreached
34answers
10questions
iphone
top-5%
ios
top-5%
uiimage
top-1%
Github Skills (42)
uiimage10
docker10
maintenance10
c-language10
qt10
python10
image-processing10
scripting10
containerization10
dockers10
lua10
front-end-development10
jupyter-notebook10
dicom10
cprogramming-language10
Programming languages (14)
Github contributions (5)
InsightSoftwareConsortium/ITK
Sep 2000 - Jul 2011
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2579 commits in 11 years
Contributions summary:Daniel's contributions primarily involve modifying the `itkVersion.h` file, which suggests a focus on maintaining and updating the core ITK library version information. They also made a correction to the `itkBMPImageIO.cxx` file, potentially improving the image input/output functionalities. The user appears to be involved in the nightly build process, making frequent commits to update version numbers.
pythonitkcomputer-visionopen-sciencescientific
SimpleITK/SimpleITK
Jul 2010 - Apr 2012
SimpleITK: a layer built on top of the Insight Toolkit (ITK), intended to simplify and facilitate ITK's use in rapid prototyping, education and interpreted languages.
Role in this project:Back-end Developer & Automation Engineer
Back-end Developer & Automation EngineerContributions:1 review, 253 commits in 1 year 9 months
Contributions summary:Daniel implemented Lua and Python examples mirroring an existing C++ example within the SimpleITK repository. Their work focused on adding scripting support for image processing tasks, demonstrating proficiency in both Lua and Python. Furthermore, the user made code changes to support Linux, reflecting their understanding of cross-platform compatibility. The user also contributed to improvements in compilation and testing, by adding unit testing capabilities and refactoring existing tests to provide better image handling and validation, which indicates an effort to enhance the codebase's reliability and overall usability.
pythoninterpreted-languagesc-plus-plusprototypingon-top
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