Andreas Raue
PhD student
Tel.: +49 (0) 89 3187 2788
Room: 150
Research Focus
Dynamical models of cellular processes promise to yield new insights into the underlying systems and their biological interpretation. The aim is to match mathematical models with experimentally observed time-series data to reconstruct and validate the network structure. This also facilitates quantitative prediction of system dynamics that is not accessible by experiments directly. The processes are usually non-linear, high-dimensional, and experimental data of the processes are sparse. It is especially challenging to handle experimental data with large measurement errors.
The key point in this process is the correct propagation of uncertainty: from measurement noise, to parameter uncertainties and possibly non-identifiabilities, to uncertainties in the predicted model dynamics and possibly non-observabilities. Finally, experimental design techniques ensure to obtain experimental data that supply the information content that is necessary to access the biological question of interest with sufficient precision. I apply both profile likelihood and MCMC sampling approaches.
Increasingly complex applications require the efficient modeling of large systems. I collaborate both in horizontal and vertical integration of models. Horizontal means the combination of mathematical models that operate on the same level of abstraction. Vertical means to integrate models on difference scales, for instance ODE models of molecular processes and agent-based models of cell proliferation and migration.
For detail see on my University of Freiburg webpage.
Publications
See Google Scholar for an independent publication summary.