Computer Science Colloquium
Principles of Intracellular SignalingFri 30.10.2015, 11:00, 60 minutes
S2-044 in Science Park 2
AbstractWhat can we learn from intracellular signaling? Cells communicate by chemical substances. They generate "signals" by release of substances which act as ligands to receptors at cell surfaces. Cells react to hundreds of chemical substances in the extracellular environment. They need to integrate signals, sort them and combine them, and provide cellular responses. Principles of cell signaling are more and more being elucidated with the help of complex mathematical and computational models. I will present my own work on an abstraction of dynamical systems using matrix computations and the implications that derive from this.
We will also talk about the relevance of intracellular signaling to models of natural computation.
BioGabriele Scheler obtained a PhD from the LMU München in Logic and Scientific Theory. After positions in Computational Linguistics at the University of Heidelberg and Protein Sequence Analysis at the MPI for Biochemistry in Martinsried she worked at the Department of Computer Science at the Technical University in Munich on Machine Learning and Neural Networks. She moved to the Salk institute in San Diego in 1998, and since has focused on modeling of neuronal cells, from an electrophysiological as well as a systems biology perspective. She continued at Stanford university, working on comprehensive models of neural plasticity and memory, and is presently engaged in doing a non-profit startup on mathematical biology.
Invited by Univ.-Prof. Dr. Sepp Hochreiter, Institute of Bioinformatics
The Computer Science Colloquium is organized by the Department of Coputer Science at JKU, the Österreichische Gesellschaft für Informatik (ÖGI) and the Österreichische Computergesellschaft (OCG).