Summary
David Gillsjö is a Co-Founder and CTO with nine years of experience combining academic research and hands-on software engineering in computer vision, machine learning, and signal processing. He holds a PhD from Lund University’s Computer Vision and Machine Learning group, with a research stint at UC Berkeley, and has published work on neural scene understanding, 3D reconstruction, minimal solvers for SfM, and point-cloud map merging. Prior roles include signal-processing engineering at Flatfrog and applied SLAM work during a master’s thesis at the Australian Centre for Field Robotics, giving him a rare blend of product-focused development and deep theoretical expertise. As a startup CTO he now applies that background to build practical automation solutions for forestry, translating cutting-edge vision algorithms into deployable systems. Colleagues describe him as equally comfortable deriving novel estimators and shipping robust embedded software—an engineer who bridges math-heavy research and production constraints. Based in Lund, Sweden, he pairs a multidisciplinary education in applied physics, control and music with a research-driven, application-first mindset.
9 years of coding experience
4 years of employment as a software developer
Master, Applied Physics and Electrical Engineering, Master, Applied Physics and Electrical Engineering at Linköpings universitet
IT-Gymnasiet med Europaprofil
Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at The Faculty of Engineering at Lund University
Music, Music at Karlstads universitet
Swedish, English