Daniel Jönsson is an Associate Professor and researcher with 13 years of experience specializing in visualization and machine learning, bridging academic research and practical software engineering. He co-founded and is a core developer of the open-source Inviwo visualization rapid prototyping platform, contributing full-stack improvements such as Chromium Embedded Framework integration and cross-platform support. His work spans visualizing neural network internals, real-time 3D/4D rendering, data-driven train delay prediction, and high-performance parallel algorithms, grounded in a Ph.D. in Visualization and Media Technology. Based in Sweden, he teaches software engineering to undergraduates while leading applied research projects and running Vistinct, demonstrating a rare combination of hands-on C++/OpenGL system building and production-oriented research. An understated strength is his ability to translate complex visualization research into usable developer tools and web-integrated UIs that advance both reproducible science and practical prototyping.
13 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Visualization and Media Technology, Doctor of Philosophy (Ph.D.), Visualization and Media Technology at Linköping University
Contributions:788 reviews, 1160 commits, 251 PRs in 8 years
Contributions summary:Daniel's commits focus on integrating and improving the user interface with Cef (Chromium Embedded Framework) and web technologies. Contributions involve implementing features for the web browser integration, including adding HTML input elements, and synchronizing Inviwo properties with the webpage. In addition, the user addressed several compilation errors, implemented support for Mac OS and tested the changes by updating the regression tests.
Contributions:1 release, 101 commits, 9 PRs in 1 year 10 months
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