PhD student in applied mathematics and computational biology @ University of Bonn, Germany. Nina's main research interest lies in scientific machine learning to describe dynamical processes in systems biology.
Neural universal differential equations (UDEs) are one of the comparatively new concepts combining aspects of purely knowledge-based mechanistic models with black-box and data-based approaches. We explore the applicability of UDEs for parameter estimation in the context of systems biology. For this, we consider different levels of noise, data sparsity, and prior knowledge about the underlying system on a diverse set of problems.