Summary
Lukas Morsing is a senior machine learning scientist with 11 years of engineering experience, currently applying deep learning to frontier weather and renewable power forecasting at InCommodities to give traders and algorithms a measurable edge. He holds a PhD focused on efficient deep learning and transfer learning, with papers in ICLR, ECCV, NeurIPS and other top venues, and transitioned academic advances into production forecasting systems. Lukas is also an active open-source author whose libraries have surpassed one million downloads, reflecting a strong developer-first approach to reproducible research and tooling. His background spans embedded and cloud engineering through roles at TC Electronic and consultancy work, enabling him to bridge firmware, scalable analytics, and ML deployment. Based in Aarhus, Denmark, he combines rigorous research, product-focused engineering, and domain expertise in energy systems—often optimizing models with an eye toward computational efficiency that scales to real-world trading pipelines.
11 years of coding experience
6 years of employment as a software developer
STX Musik/matematik, STX Musik/matematik at Herning Gymnasium
Doctor of Philosophy - PhD Machine Learning and Computational Intelligence, Doctor of Philosophy - PhD Machine Learning and Computational Intelligence at Aarhus University
Danish, English, German, polsk