Physical Modeling of Living Systems

This course introduces and develops various 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) stem primarily from statistical physics, the theory of stochastic processes, and nonlinear physics.

Examples of studies are also provided based on the material covered in other modules in the M1 and M2 programs 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) for modeling biological systems and living matter across multiple spatial and temporal scales;
• Understand the complexity of biological systems using the tools of theoretical physics, particularly statistical physics, the theory of stochastic processes, and nonlinear physics;
• Mathematically and physically model a complex system;
• Learn the methodology for modeling unconventional physical systems.

Biophysical Science

Statistical Physics

Modeling and Simulation in Physics

Recommended prerequisites:

Condensed Matter Physics 1

Hydrodynamics

Surfaces, Interfaces, Colloids

Microscopy and Spectroscopy for Biology