Summary
Christoffer Rasmussen is a data scientist with a PhD in statistical and mathematical modelling of energy systems and 11 years of hands-on experience bridging engineering and data-driven research to accelerate the green transition. He combines deep domain knowledge from civil and architectural engineering with advanced machine learning methods developed during his PhD and postdoc at DTU to characterise real-world energy performance of occupied buildings. Currently at Watts, he translates research-grade tools into practical solutions for industry partners, drawing on prior roles at VELUX, Transsolar and consulting firms. Known for combining rigorous modelling, building simulations and field monitoring, he focuses on creating reliable, actionable insights rather than black-box predictions. An often-overlooked strength is his track record of collaborating across academia, industry and multidisciplinary design teams to make models usable in practice. Based in Copenhagen, he aims to make better data-driven decisions that speed renewable uptake and improve building-level energy outcomes.
11 years of coding experience
4 years of employment as a software developer
Technical University of Denmark
German, English, Danish