Frédérique Clément

M3DISIM project team
INRIA Saclay Ile-de-France

REGATE Large Scale Project
Puisqu'on ne peut être universel en sachant pour la gloire tout ce qui se peut savoir sur tout, il faut savoir peu de tout, car il est bien plus beau de savoir quelque chose de tout que de savoir tout d'une chose. Cette universalité est la plus belle.
Blaise Pascal, Pensées

Overview of research topics

The main goal of MYCENAE (Multiscale dYnamiCs in neuroENdocrine AxEs) is to address crucial questions arising from biological issues from a mathematical perspective. We contribute to the modeling, analysis and simulation of multiscale dynamics in time and/or space, in the fields of neuroscience, physiology and developmental biology.
My own research topics are specially related to developmental biology and neuroendocrinology.
I am interested in different developmental processes where cell dynamics play a prominent role, with special focus on reproductive biology (development of ovarian follicles) on the one hand and neurogenesis in the cerebral cortex on the other hand. Depending on the stage of development precisely considered, either discrete, stochastic formalisms or continuous, deterministic formalisms are handled. In both cases, combined theoretical and numerical approaches are deployed and confronted to the available biological knowledge, with the ultimate goal of fostering the understanding of the biological processes and possibly suggesting new experimental studies.
On the neuroendocrinology side, I am involved in the study of the dynamic encoding of neuro-hormones into complex oscillatory signals, and their decoding by their target cells, with a special focus on the hypothalamo-pituitary-gonadal axis. Such signals emanate from endocrine neurons, which have the uncommon ability of secreting hormones into the blood stream and whose activity is finely tuned through entangled feedback looks embedding the central nervous system, pituitary gland and peripheral organs.

Main publications


last update 09/25/2017