Felix Sieber-Schäfer

Felix Sieber-Schäfer is a researcher working at the interface of machine learning, pharmaceutical formulation, and drug delivery. His work focuses on data-driven approaches to accelerate the development of complex formulation systems, particularly lipid nanoparticles for RNA delivery.
A key focus of his research is developing active learning approaches that can learn from the small, heterogeneous, and noisy datasets commonly encountered in pharmaceutical development.
His broader goal is to integrate computational modelling and experimentation into iterative workflows that enable faster, more systematic, and more transferable formulation development.