Summary
Yarden Livnat is a research-focused visualization scientist and software architect with 27 years of experience bridging information visualization, scientific visualization, and high-performance graphics. He led architecture and development of distributed visualization systems—most notably VisAlert for dynamic visual correlation—and has strong expertise in GPU/vector programming, point-based rendering, and isosurface extraction for massive datasets. As Research Assistant Professor and long-time member of the Scientific Computing and Imaging Institute at the University of Utah, he applied visual analytics to problems from network intrusion detection to early disease spread detection. Now retired and based in Salt Lake City, he’s spent recent years sailing the globe while remaining active as an adjunct academic, blending hands-on engineering depth with a broad research perspective. An underappreciated strength is his track record of turning advanced visualization algorithms into practical, distributed software architectures used in operational settings.
27 years of coding experience
36 years of employment as a software developer
The University of Utah