Summary
Búgvi Magnussen is a data scientist and Industrial PhD fellow based in Copenhagen with eight years of experience applying machine learning and software engineering to maritime and fisheries problems. He bridges applied research and production: at TORM he accelerates AI adoption in shipping while consulting to optimize fishing operations, and his background includes industrial software, data migration, and geometric algorithms. A fluent functional programmer and educator, he has taught advanced Scala and functional techniques at ITU and built production systems in C#, Kotlin, Python and TypeScript. Unusually, he combines rigorous CS training with a formal background in contemporary music, bringing creative pattern recognition and disciplined craft to complex data products.
8 years of coding experience
3 years of employment as a software developer
Master of Science in Computer Science (Datalogi), Computer Science, Master of Science in Computer Science (Datalogi), Computer Science at IT-Universitetet i København
Musikalst Grundkursus (MGK), Music Performance, General, Musikalst Grundkursus (MGK), Music Performance, General at Tórshavn Music School
Mathematics C-A, Mathematics, Mathematics C-A, Mathematics at KVUC
Upper Secondary School, General, Upper Secondary School, General at Føroya Studentaskúli og HF-Skeid
The University of Melbourne
Industrial PhD, Data Science, Industrial PhD, Data Science at Roskilde University
Danish, English, faroese, Norwegian, Swedish