Physical modeling of living systems

The course presents and develops different methods for modeling biological systems: from the physics of the individual molecule to the physical study of systems and populations of objects (e.g. proteins) or organisms (bacteria).

These methods (both analytical and numerical) are mainly derived from statistical physics, stochastic process theory and non-linear physics.

Examples of studies are also proposed on the basis of the teachings of other modules in M1 and M2 to contextualize the various examples to physical theory and quantitative experimentation on living matter.

• Learn theoretical and mathematical analysis methods (analytical and numerical) for modeling biological systems and living matter on multiple space and time scales;
• Understand the complexity of biological systems using the tools of theoretical physics, in particular statistical physics, the theory of stochastic processes and non-linear physics;
• Mathematically and physically model a complex system;
• Learn how to model unconventional physical systems.

Biological physics

Statistical physics

Modeling and Simulation in Physics

Recommended prerequisites :

Condensed Matter Physics 1

Hydrodynamics

Surfaces, Interfaces, Colloids

Microscopies and spectroscopies for biology