Mathematical Models in Biology and Related Applications of Partial Differential Equations

Emplacement

HAVANA
,
Cuba

Dates

à

Présentation

The school aims at presenting some of the current approaches in PDE modelling and mathematical analysis of biological phenomena or related domains. It aims at allowing the researchers and the students of Master’s degree level and talented undergraduate students to acquire a basic training in that field and to have an overview of what is the current research status of these types of problems.

This school will cover a wide class of models and applications including dynamics of intracellular and extracellular phenomena, neuronal networks, pattern formation, chemotaxis, and their implications in developmental biology, epidemiology and neurosciences. The main mathematical methods will concern the study of evolutionary partial differential equations, such as their large time behaviour, their links with microscopic or stochastic models, as well as numerical methods to approximate their solutions. 

Coordinateurs administratifs et scientifiques

Mariano RODRIGUEZ RICARD (Universidad de la Habana,
Cuba
, )
Emeric BOUIN (Université Paris-Dauphine,
France
, )

Programme scientifique

Cours 1: "Mathematical modeling of actin driven cellular morphodynamics and motility", Christian SCHMEISER (University of Vienna, Autriche)

Cours 2: "Modeling interacting networks as processes with variable length", Eva LOCHERBACH (Université de Cergy-Pontoise, France)

Cours 3: "Biomechanics", Rosemary DYSON (University of Birmingham, Royaume-Uni)

Cours 4: "Mathematical modelling with Anisotropic diffusion", Thomas HILLEN (University of Alberta, Canada)

Cours 5: "Mean-field Theory for Networks of Spiking Neurons", Alexander ROXIN (Centre de Recerca Matemàtica, Espagne)

Cours 6: "The many-particle limit and its mathematical analysis", Clément MOUHOT (University of Cambridge, Royaume-Uni)

Site internet de l'école

Comment participer

Pour s'inscrire et candidater à un financement CIMPA, suivre les instructions données ici.

Date limite d'inscription et de candidature : 24 février 2019.