Mathematical biology applies differential equations, stochastic processes, and dynamical systems theory to understand living organisms. From the oscillating populations of lynx and hare to the self-organized stripes on a zebrafish, mathematics reveals the hidden engines driving biological complexity. These models are not mere abstractions — they predict real outbreak trajectories, guide conservation strategies, and explain embryonic development.
These five simulations let you explore Lotka-Volterra predator-prey cycles, SIR epidemic compartment dynamics, Turing reaction-diffusion patterns, Fisher-KPP traveling waves, and Galton-Watson branching processes — each with real-time interactive parameters and scientifically accurate computations.