Wiebke Köpp is a computational research scientist at Berkeley Lab with 11 years of experience building visualization-driven scientific workflows for experimental design, data management, analysis, and high-dimensional/multi-modal exploration. She combines a PhD in high-performance computing and visualization with hands-on development—contributing full‑stack UI features to the popular Inviwo interactive visualization framework, including animation controls and thread-safety fixes. Her research focuses on feature extraction and tracking, novel user interfaces that support the full experimental process, and algorithmic approaches to visualize dynamic hierarchies from large-scale simulations. Based in San Francisco, she brings a rare blend of academic rigor, teaching experience, and practical software engineering that turns complex scientific data into actionable insight.
11 years of coding experience
Doctor of Philosophy - PhD, Computer Science: High Performance Computing and Visualization, Doctor of Philosophy - PhD, Computer Science: High Performance Computing and Visualization at KTH Royal Institute of Technology
Master of Science (M.Sc.), Informatics, 1.0, Master of Science (M.Sc.), Informatics, 1.0 at Technische Universität München
Contributions:25 commits, 4 PRs, 7 pushes in 3 years 2 months
Contributions summary:Wiebke primarily contributed to the AnimationQT module, developing features related to the user interface for animation controls. They implemented functionality to select processors, add trash bin icons, and pass the AnimationController to the label view. The contributions also include adding controls for individual tracks, such as enabling/disabling, locking, and keyframe navigation. Additionally, the user fixed a bug in the DatVolumeWriter, ensured thread safety in the thread pool, and addressed issues in colorbrewer transfer functions.
Contributions:13 commits, 13 pushes, 1 branch in 1 year 8 months
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