Workshop

Computational Life Sciences:
Mathematical modelling, uncertainty quantification and numerical simulation methods

Date: June 2nd, 2016
Location: Main building of RWTH, Templergraben 55, Room 149
Topic:

The life sciences have become increasingly quantitative as new technologies facilitate collection of large amounts of data and fast computers for data analysis and the simulation of complex models are available. Mathematics and computational science have become crucial disciplines for the study of complex models of biological processes.
Modelling and numerical simulation of multi-scale biological systems from molecular to the organ level is expected to be the key en route to tackle pressing challenges of the future, such as precision medicine and clean biotechnology.
To realize the potential of computational life sciences for health care and other application areas, the further development of modelling techniques and of numerical simulation methods is required.
RWTH Aachen aims to extend its activities in the area of mathematical methods in computational biomedicine. The profile area Computational Science & Engineering of RWTH Aachen organizes this one day workshop on mathematical modeling in Life Sciences with presentations of young researchers from the research area.

Please download the program here:  
Registration is not required.

Speaker Topic
Satya Swarup Samal (University of Bonn) Analysis of biochemical reaction networks using tropical geometry and pathway-based methods
Ulrich Dobramysl (University of Cambridge) Particle-based transport modeling: Applications to calcium puffs and filopodia
Nikolaos Sfakianakis (University of Mainz) A two scales approach in cancer motility and invasion
Hui Yu (RWTH Aachen) On the self-organized hydrodynamic models of collective motions
Diane Peurichard (University of Vienna) Modelling self-organization in biological tissues: From agent-based to continuum models
Chandrasekhar Venkataraman (University of St Andrews) Free boundaries on the cell boundary: Understanding biologically relevant asymptotic limits of a model for receptor-ligand dynamics
James Grogan (University of Oxford) A computational framework for multi-scale vascular tumour growth models