Séminaire de Maxime Folschette au Data Institute de l’Université Grenoble Alpes

Maxime Folschette , ingénieur de recherche contractuel au sein des équipes COMBI et GDD, est invité par le Data Institute le 25 janvier 2019 pour un exposé sur « Computational methods for system biology« .

The quickly growing amount of available biological data raises many problems related to efficiently using them: How to take advantage of the available signaling databases in order to extract new knowledge? What methods can be used to study a large dynamical model? Starting from dynamical behavior data of a biological system, how to perform model inference or completion?

During this seminar, I will present my works related to these topics, applied to several biological systems, among them:
* the Hepatocellular Carcinoma, which is the most widespread and lethal form of liver cancer: we want to understand the causes of its proliferation;
* the Circadian cycle, or “cellular clock”: we want to reproduce its day-night cycle behavior in a model;
* other models such as the Epithelial Growth Factor Receptor: we can study its dynamics using computational approximations despite its large size.