Erik Smistad is a Senior Research Scientist and PhD-trained computer scientist in Trondheim with 16 years of experience building medical image analysis systems, specializing in ultrasound, image segmentation, and real-time GPU-accelerated deep learning. At SINTEF and NTNU he has led development of clinical research platforms for image-guided surgery, translating algorithms into production-capable software with a pragmatic focus on latency and GPU performance. His work spans the full stack from low-level GPU optimization to training segmentation networks, reflecting a rare blend of academic rigor and hands-on engineering. Over a decade of continuous software development means he is as comfortable profiling CUDA kernels as mentoring students and integrating research into hospital workflows. Colleagues value him for reliably moving experimental methods into robust tools used in clinical research.
16 years of coding experience
8 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Norwegian University of Science and Technology
Contributions:564 commits, 1 push, 5 comments in 2 years 6 months
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