Data-driven discovery of dynamical models in biology (opens in new tab)

Dynamical systems theory provides a mathematical framework for describing how interacting biological components evolve over time and space, from molecular oscillators to large-scale biological patterns. Such systems often involve nonlinear feedbacks, delays and multiscale interactions, making mechanistic model construction increasingly challenging as experimental measurements become richer and higher dimensional. This has motivated the development of data-driven approaches that infer model st...