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Madalena ChavesInstitute for Systems Theory and Automatic ControlUniversity of Stuttgart Pfaffenwaldring 9 70550 Stuttgart Phone: +49 (0)711 685 66292 Fax: +49 (0)711 685 67735 Email: chaves -at- ist.uni-stuttgart.de |
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NOTE: I am now at INRIA in Sophia-Antipolis (France), as a member of Project COMORE (since February 2007).
PLEASE CHECK MY NEW COORDINATES!
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I was a postdoc at IST (September 2005 - February 2007), and a member of the Systems Biology group.
I am interested in several topics from control theory, and applications to biological systems.
Receptor-ligand interactions and signal transduction
The binding of a ligand to a cell receptor triggers a sequence of biochemical reactions, that ultimately lead to a cell response (such as contraction, motility, proliferation). I am interested in the modeling of various stages in this process, from receptor-ligand binding, to cascades of protein activation, to cell signaling in the form of changes in the levels of cytosolic calcium, cAMP,... One of the goals would be to obtain validated models that help us in predicting and controlling the response of the cell to given stimulus.
Analysis of Boolean models: segment polarity genes network in Drosophila
These are the genes responsible for establishing the anterior-posterior polarity of segments in the embryo of the fruit fly. I have been working on the analysis of a Boolean model of the segment polarity network, introducing asynchronous updating rules, and other methods that allow a more realistic analysis of discrete models with respect to the time scales of the various regulatory processes (transcription, translation, or post-translational modifications).
Zero-deficiency chemical networks
This is a class of nonlinear systems which model general biochemical networks with mass-action kinetics. The formalism was first introduced and studied by M. Feinberg, F. Horn and R. Jackson.
In my thesis I designed globablly asymptotically convergent observers for this class of systems, where other standard observers (eg. Kalman filters) may fail.
Recently, I have extended the analysis of zero-deficiency networks to the case of time-dependent kinetic parameters - these are interpreted as inputs into the system. Such system satisfies an input-to-state stability (ISS) property, which guarantees robustness with respect to small perturbations in the kinetic parameters, such as temperature fluctuations, or various external factors and stimuli.
Universität Stuttgart
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