Summary
Samuel Knudsen is a Machine Learning Engineer based in Oslo with nine years' experience applying mathematical rigor to practical AI systems, from cancer prognostics to in-house model training and data tooling. Trained in computational physics (MSc) and with PhD-level research experience at the intersection of theoretical neuroscience and AI, he blends probability and game-theory thinking with biologically inspired algorithms such as spiking neural networks and evolutionary methods. Samuel has implemented end-to-end pipelines in research and industry—working on computer vision, robotics, data engineering, and full-stack visualization for bathymetry—bringing both research depth and production sensibility. He’s comfortable shipping tooling for model training and data management while keeping a keen interest in macroscopic, ensemble-level dynamics that inform his approach to algorithm design. Outside code he expresses creativity through music and comics, signaling a multidisciplinary perspective that often yields unconventional solutions.
9 years of coding experience
3 years of employment as a software developer
University of Oslo
Visual Arts, Visual Arts at Einar Granum School of Fine Arts
General university admission certification, General university admission certification at Bjørknes Privatskole
Norwegian, English