Summary
David Segersson is a research scientist and technical lead with 15+ years of experience in urban climate, air quality and environmental modelling, now at the Swedish Defence Research Institute after leading urban climate research at SMHI. He blends scientific rigour—PhD-level work and CFD/Large Eddy Simulation expertise—with hands-on software engineering, using Python, C++, Fortran, high-performance computing and DevOps practices to deliver modelling systems and applications. His portfolio spans international projects from Europe to South America, including operational tools for dynamic shipping-emissions modelling based on AIS and consultancy for major arena projects using OpenFOAM. A productive problem solver, he is actively exploring machine learning and AI to enhance dispersion and urban-environment models, bringing uncommon depth across numerical modelling, geospatial databases and production-grade software.
15 years of coding experience
19 years of employment as a software developer
Doctor of Philosophy - PhD, Applied environmental science, Doctor of Philosophy - PhD, Applied environmental science at Stockholms universitet
Master of Science (M.Sc.), Environmental and Aquatic Engineering, Master of Science (M.Sc.), Environmental and Aquatic Engineering at Uppsala University