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Maritime data scientist. Trained musician.
Specialist in maritime data science. Industrial PhD on vessel behaviour, published research, and the rest of the time a musician.
I'm a data scientist working in the maritime domain. My industrial PhD, in collaboration with TORM, a Danish product tanker shipping company, is about vessel behaviour: where ships are heading, how to reconstruct their movement from sparse position reports, when they'll arrive, and general supply and demand trends in the tramp market.
I have a background in computer science and worked as a software engineer before becoming a data scientist. Before that I studied music at the University of Melbourne. I still play. I'm from the Faroe Islands, based in Copenhagen, and I also do consulting work on the side.
TORM
Work spans both operational and commercial projects, such as route optimisation and strategic planning, covering the full pipeline from managing projects and stakeholders through to analysis and implementation.
FaroeSeaV
Consulting work in the salmon aquaculture industry, covering data analysis, machine learning, and computer vision algorithms.
IT University of Copenhagen
Taught various courses, including Introduction to Database Design, Functional Programming, and Advanced Programming.
Netlight
Focused on data migration and data verification.
Cimco
Worked on tooling software for CNC machines, leading a small team responsible for a tool manager application.
Siteimprove
Worked on Alfa, Siteimprove's accessibility engine.
IT University of Copenhagen
Specialised in Machine Learning. Thesis on destination prediction for oil tankers.
IT University of Copenhagen
Thesis on numerical precision and ray tracing.
University of Melbourne
Thesis on the history of brushes in modern drum playing.
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Placeholder — Music is part of the profile too, not a separate site: a line or two on what you play, your genres, and where people can hear or book you.