Hidde de Jong
Qualitative Modelling of Bacterial Regulatory Networks
The adaptation of microorganisms to their environment is controlled at the molecular level by large and complex networks of biochemical reactions involving genes, RNAs, proteins, metabolites, and small signalling molecules. In theory, it is possible to write down mathematical models of these networks, and study these by means of classical analysis and simulation tools. In practice, this is not easy to achieve though, as quantitative data on kinetic parameters are usually absent for most systems of biological interest. Moreover, the models consist of a large number of variables, are strongly nonlinear and include different time-scales, which make them difficult to handle both mathematically and computationally.
Hidde de Jong obtained MSc degrees in Computer Science, Philosophy
of Science, and Management Science from the University of Twente (the
Netherlands) and completed a PhD thesis in Computer Science at the same
university. He joined INRIA in 1998 and is currently a senior research
scientist in the bioinformatics and biological modeling group at INRIA
Grenoble-Rhône-Alpes. He has been a member of the editorial board of the
IEEE/ACM Transactions on Computational Biology and Bioinformatics and
the Journal of Mathematical Biology.