Physical modeling of living systems

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

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

Examples of studies are also provided based on the content of other modules in M1 and M2 to contextualize the various examples within the framework of physical theory and quantitative experimentation on living matter.

• Learn theoretical and mathematical analysis methods (analytical and numerical) to model biological systems and living matter at multiple spatial and temporal scales;
• Understanding the complexity of biological systems using theoretical physics tools, in particular statistical physics, stochastic process theory, and nonlinear physics;
• Mathematically and physically model a complex system;
• Learn the methodology of modeling unconventional physical systems.

Biological physics

Statistical physics

Modeling and Simulation in Physics

Recommended prerequisites:

Condensed Matter Physics 1

Hydrodynamics

Surfaces, Interfaces, Colloids

Microscopy and spectroscopy for biology