Hi, I’m Erling Devold — a machine learning researcher and engineer passionate about building intelligent systems that learn from limited supervision.
Currently, I lead the development of a weakly supervised learning approach for analyzing sonar data. I’m particularly interested in combining representation learning, marine imaging, and creative AI, including music + ML crossover work.
My background includes:
- 🎓 MSc in Computer Science – Machine Learning specialization
- 🔬 Applied AI research at SINTEF
- 🌊 Work on broadband echosounders, catch reports, and acoustic modeling
- 🎼 Side interest in music systems and signal transformation
I believe in open science, reproducible ML workflows, and exploring the frontier between the natural and computational world.