Erik Sandström is a research scientist specializing in dense SLAM and computer vision, with eight years of experience spanning academic research and industry roles. He completed a PhD at ETH Zürich's Computer Vision Lab and worked on adversarial robustness and generative modeling during internships and his MSc, producing CVPR work and a fast, interpretable GAN training method. Erik transitioned into industry research with a student researcher stint at Google and now holds a Research Scientist position there, combining rigorous geometric vision skills with practical system-building. Based in Zurich, he brings a rare mix of deep theoretical expertise and hands-on engineering—from coordinate-measuring quality work to state-of-the-art SLAM systems—and a track record of speeding up training while improving interpretability.
8 years of coding experience
1 year of employment as a software developer
University of California, San Diego
Natural Sciences Programme, 22.5/22.5, Natural Sciences Programme, 22.5/22.5 at Lars Kaggskolan
MSc, Engineering Physics - Images and Computer Graphics, 4.95/5.00, MSc, Engineering Physics - Images and Computer Graphics, 4.95/5.00 at Lunds tekniska högskola
Doctor of Philosophy - PhD, Computer Vision, Doctor of Philosophy - PhD, Computer Vision at ETH Zürich
Contributions:179 commits, 5 pushes, 3 comments in 1 year 3 months
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