Our research group specialises in the analysis, modelling and classification of measured signals as well as statistical modelling and consulting. We apply physical and statistical models as well as Deep Learning to solve complex problems in the life sciences and related technical fields, for example in chromatography, agricultural systems modelling or drone signal detection. Our team consists of experts in data science and statistics who have in-depth knowledge of theoretical and applied physics and mathematics as well as many years of experience in research and teaching in the life sciences and related disciplines.

• Institute of Natural Resource Sciences
• Institute of Chemistry and Biotechnology
• Institute of Food and Beverage Innovation
• Planar4
• Infre
• Armasuisse

• Modelling Environmental and Nutritional Impacts of Vegan Agriculture (P. Krayer)
• Transition analysis of small-scale and at-scale chromatography columns (A. Grossenbacher)
• Design of algorithm to analysis chromatogram plates (A. Chelackal)
• Potential applications and technologies of ecoacoustics for the detection of Carabidae (T. Schittly)
• Monitoring system for an aquarium (S. Christen)
• Data analysis of the heating system of the fish farm Basis57 (L. Genoni)
• Safety and communication concept for an Arduino control system using the example of controlling an irrigation system (J. Canelos)