Summary
Vemund Schøyen is a data scientist and postdoctoral researcher based in Oslo with eight years of experience applying deep learning to medical imaging and neuroscience. He combines a strong academic track record—PhD work on hippocampal spatial representation and collaborations with MILA and Simula—with practical ML engineering, including generative DDPM models for MRI and applied projects detecting seafloor pipelines. Vemund has taught across computational modelling, physiology, and deep learning courses, demonstrating an ability to translate research into pedagogy and tools. His background spans hospital research environments and industry AI squads, reflecting fluency in both clinical workflows and production-focused ML. Notably, he has hands-on experience building custom annotation tooling and bridging theoretical models with empirical neural data, a skill set that uniquely positions him to drive translational AI in medical imaging.
8 years of coding experience
5 years of employment as a software developer
University of Oslo
Nordhordland FHS
High School Diploma, Hard Science, High School Diploma, Hard Science at Sandnes Videregående skole
Norwegian, English, French