What Is Parameter Identifiability, Why Do We Need Identifiable Models, and What Can Identifiable Models Tell Us About Regulation of the Cell Cycle?

Explore the critical concept of parameter identifiability in mathematical modeling through this 45-minute conference talk by Professor Ruth Baker from the University of Oxford. Discover why parameter identifiability is fundamental to accurate mathematical modeling in the life sciences, where complex dynamical systems require reliable parameter estimation for both data fitting and biological inference. Learn about the challenges posed by nonlinear, high-dimensional models common in systems biology and examine recent advances in developing methods to assess parameter identifiability. Understand how these approaches can be applied to models of cell cycle regulation and see how identifiability analysis reveals insights into regulatory mechanisms affecting collective cell migration. Gain perspective from Baker's expertise at the intersection of applied mathematics, statistical inference, and life sciences, focusing on mathematical and computational tools that extract biological insights from complex models and experimental data.