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Carsten Ambelas Skjøth has over 20 years of research expertise in aerobiology, focusing on the development and application of numerical models, particularly trajectory-particle dispersion models that calculate the weather release, transport, and fate of airborne microorganisms. His work also involves the development of detection techniques for airborne pollen and fungal spores using digital PCR and eDNA, complemented by AI applied to real-time data from multi-sensor instruments. He collaborates with researchers in aerobiology across Europe and has worked with public organizations and commercial companies on the development of these instruments. Skjøth has a strong teaching background, having taught subjects such as meteorology, climate, and air pollution at the undergraduate level, supervised over 30 BSc projects, and been involved in postgraduate education as well. His research interests include Meteorology, Aerobiology, Airborne Pollen, and Airborne Fungal Spores.
Aarhus University • Roskilde
Leading research in aerobiology and teaching undergraduate and postgraduate courses.
Department of Computer Science offers tracks in Software Efficiency, Cryptography, and Data Science.