Charles Law is a veteran technology executive and CEO with three decades of experience bridging scientific research, visualization, and AI-driven product development. Currently leading Neureon and serving as VP at Kitware, he combines executive leadership with deep technical roots in visualization and VTK-based tooling—having contributed substantive back-end work to ParaView including watertight contouring and UGrid processing. His background includes Distinguished Engineer work applying deep learning to defense and medical problems, and a PhD in Neural Science from Brown alongside engineering and math degrees from Carnegie Mellon. Known for turning research-grade algorithms into production-capable systems, he brings a rare mix of hands-on code contributions and strategic organizational leadership.
30 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Neural Science, Doctor of Philosophy (Ph.D.) Neural Science at Brown University
Bachelor’s Degree Electrical Engineering Computer Science and Math, Bachelor’s Degree Electrical Engineering Computer Science and Math at Carnegie Mellon University
VTK-based Data Analysis and Visualization Application
Role in this project:
Back-end Developer
Contributions:1856 commits in 11 years 8 months
Contributions summary:Charles implemented a UGrid fragment filter, indicating a focus on data manipulation and processing within the VTK (Visualization Toolkit) framework. They also worked on fixing warnings and addressing bugs related to grid connectivity and mesh generation within the ParaView environment. Additionally, the user contributed to integrating cell arrays and implementing a watertight contouring feature.
A multiresolution image viewer, optimized for whole slide images.
Contributions:1331 commits, 46 PRs, 134 pushes in 7 years 5 months
imageslideimage-viewerimage-processingoptimized
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Charles Law - Chief Executive Officer at Neureon Inc