Inferring active particle dynamics by data assimilation (B07*)

• Subject Area: Mathematics
• Term: since 2021
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 318763901

Self-organisation of bacteria is a paradigmatic showcase of active matter that impacts many essential processes, including the spreading of infectious diseases and the formation of biofilms. Using the soil bacterium Pseudomonas putida as a model organism, we will bring data assimilation techniques to the field of active matter in this project. We aim at a data-driven understanding of the variability and the cooperative behavior of bacterial swimmers, particularly their complex, stochastic motility patterns given observations of their trajectories.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1294: Data Assimilation – The Seamless Integration of Data and Models
• Applicant Institution: Universität Potsdam
• Project Heads: Professor Dr. Carsten Beta, since 7/2021; Dr. Robert Großmann, since 7/2021; Professor Dr. Manfred Opper, since 7/2021