Andreas Schuppert

Research Interests: Hybrid modeling (mixed mechanistic / machine learning based models), phase transitions in disease progression, modeling of biomedical interaction networks. Methods: Machine Learning, Stochastics, Differential Equations, Graph Theory, Bifurcation Theory Applications: Learning disease driving mechanisms from data, prediction of critical states in patients