Learning

Statistical Physics Approaches to Biological Networks

Probability Theory and Random Variables → Population Genetics and Evolutionary Dynamics

This learning path equips biophysics students with the conceptual and mathematical tools of statistical mechanics needed to model and analyze biological networks, including gene regulation, protein folding, neural networks, and population genetics. It bridges core physics principles with biological applications, emphasizing how collective behaviors emerge from microscopic interactions.