Life Science

In recent years, there has been a revolution in the capability to measure and observe the processes of life on many temporal and spatial scales. Simultaneously, our ability to perform extensive simulations of molecular, cellular, and tissue-scale processes has substantially improved and will continue to do so. Research at ZIB is focused on extending this expertise towards spatiotemporal modeling and simulation across the molecular and cellular scales, from pushing time-scale and accuracy barriers, via a combination of the development of novel theoretical and algorithmic techniques for effective molecular or particle dynamics with machine learning, to spatio-temporal hybrid models coupling molecular with extra- and intra-cellular processes. Our projects target seamless integration of new mathematical approaches with incorporation of experimental data, high performance computing, and/or large-scale data analysis, and contribute to finding new strategies in relevant real-world applications like drug design or neurotransmission.