Dave Chen
Senior Visualization Scientist
Bethesda, Maryland, United States
Summary
🤩
Rockstar🎓
Top SchoolDave Chen is a Senior Visualization Scientist and computer scientist with 14+ years of experience applying 3D graphics, scientific visualization, and virtual/augmented reality to medical imaging and research. He has blended long-term government and academic research roles—now at NIAID and Guidehouse—with deep open-source involvement in widely used toolkits like ITK and SimpleITK, where he improved documentation, cross-language bindings, and ImageJ/Fiji integration. His technical strengths span volume rendering, image segmentation, medical visualization, and 3D printing, grounded in a Ph.D. in Computer Science from UNC Chapel Hill. Known as a "3D graphics geek" in the community, he brings both low-level back-end fixes and practical example code that ease adoption of medical imaging libraries.
14 years of coding experience
28 years of employment as a software developer
Bachelor's Degree, Computer Science & Astronomy, Bachelor's Degree, Computer Science & Astronomy at University of California, BerkeleyDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of North Carolina at Chapel Hill
Stackoverflow
1,960reputation
127kreached
127answers
0questions
Github Skills (23)
image-analysis10
debug10
c-language10
python10
document-generation10
doxygen10
medical-imaging10
cprogramming-language10
documents10
documentation10
simpleitk9
vtk9
javas8
java8
itk6
Programming languages (8)
Github contributions (5)
InsightSoftwareConsortium/ITK
Jun 2012 - Sep 2022
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:16 reviews, 7 commits, 17 PRs in 10 years 5 months
Contributions summary:Dave primarily contributed to bug fixes and documentation improvements within the ITK project. They fixed an issue related to the `show2d` WrapITK command on macOS, ensuring proper ImageJ launch and macro execution. Additionally, the user corrected typos and improved the documentation of several image processing filters. The user also enhanced the VTK image support for image direction.
pythonitkcomputer-visionopen-sciencescientific
SuperElastix/SimpleElastix
Jul 2015 - Feb 2018
Multi-lingual medical image registration library
Role in this project:Back-end Developer & Technical Writer
Back-end Developer & Technical WriterContributions:16 commits, 1 PR in 2 years 6 months
Contributions summary:Dave primarily focused on improving the SimpleITK documentation generation process. They addressed issues related to leading spaces in generated documentation files, specifically within the `doxy2swig.py` script. Additionally, the user updated the generated documentation files, including PythonDocstrings.i and JavaDoc.i, for SimpleITK's 1.0 release, and fixed issues with ImageJ/Fiji integration, printing the command line on error. They also contributed by checking in example code.
simpleitkmedical-imageimage-reconstructiondeep-learningregistration
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