Fields of expertise

Mesoscale simulations of soft matter 
Numerical analysis 
Computer simulations


Polysphère SV

Pour l'excellence de son enseignement



Infoscience publications


Teaching & PhD


Life Sciences Engineering

Past EPFL PhD Students

Kanari Lida ,


Dynamical systems in biology

Life is non-linear. This course introduces dynamical systems as a technique for modelling simple biological processes. The emphasis is on the qualitative and numerical analysis of non-linear dynamical models. Examples are taken from biology and population models.

Symmetry and Conservation in the Cell

This course instructs students in the use of advanced computational models and simulations in cell biology. The importance of dimensionality, symmetry and conservation in models of self-assembly, membranes, and polymer/filament scaling laws reveals how cells exploit these principles in life.

Computational cell biology

Computer modelling is increasingly used to study dynamic phenomena in cell biology. This course shows how to identify common mathematical features in cell biological mechanisms, and become proficient in selecting numerical algorithms to model them and predict their behaviour.