German Conference on Bioinformatics Sep 25-28, 2018
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University of Frankfurt, Germany
Research in her group concerns the mathematical modeling and simulation of spatiotemporal processes, in particular cell motility. Her group’s work is purely theoretical but carried out in close collaboration with experimental partners. They are developing mathematical models describing the behavior of individual cells and large cell populations incorporating
internal signaling processes
interactions between cells and their chemical and mechanical environment
The group use exhaustive data analysis methods to obtain quantitative information from experimental studies, involving image analysis such as single cell tracking or particle image velocimetry, microarray or network analysis. They then formulate agent-based or PDE models for cell motility, coupled with descriptions of internal regulation in form of systems of ODE's or SDE's, and with a description of the dynamic chemical and mechanical environment of the cell. The goal is a better understanding of how microscale processes and cell-cell interaction affect the population behavior, e.g. in the formation of metastases, parasite-host interaction, or the development of structure in embryonic development.