Systems Biology builds models that represent processes and regulatory mechanisms of living systems as closely as possible. The idea is that the structure of the model should present available knowledge about passive and active processes, about linear and nonlinear interactions, and about positive or negative feedback regulations. Parameters and relations are assumed to be obtained from independent experiments, and the model is validated through its ability to generate dynamical behaviors close to experimentally observed behaviors under many different conditions. The model can then be used to predict phenomena that have not previously been observed and to design corresponding experiments.


Current projects

Nephro-vascular network

We aim to develop a computationally simple but physiologically-based mathematical model of kidney vascular tree. This will provide us a tool to study blood flow autoregulation in large ensembles of interacting nephrons that are not directly amenable to experimentation. This study combines micro-tomography with 2 micrometer resolution and high resolution speckle imaging with computational biosimulation. The model resembles realistic vascular structure and reproduces morphological features of kidney vascular network and dynamical aspects of pressure drops and nephron self-sustained cooperative dynamics.