Topic: parameter estimation

Develop computational methods for biological digital twins, including parameter estimation, uncertainty quantification, Bayesian inference and physics-informed neural networks. Build scalable simulation software and apply it with experimental and clinical collaborators to development and disease models.

Microorganisms can swim in a variety of environments, interacting with chemicals and other proteins in the fluid. In this talk, we will highlight recent computational methods and results for swimming efficiency and hydrodynamic interactions of swimmers in different fluid environments. Sperm are modeled via a centerline representation where forces are solved for using elastic rod theory. The method of regularized Stokeslets is used to solve the fluid-structure interaction where emergent swimming speeds can be compared to asymptotic analysis. In the case of fluids with extra proteins or cells th