Hannah Schuster is a Teaching and Research Associate at the Institute for Data, Process and Knowledge Management at the Vienna University of Economics and Business (WU Vienna). From December 2021 to November 2024, she pursued her PhD in cooperation with the Complexity Science Hub, with which she has remained affiliated since.

Hannah’s main research interests are centered around mathematical modeling and data analysis. Currently, she is working on the project “Crisis Response and Intervention Supported by Semantic Data Pooling”, which aims to address the challenges of disaster and crisis management in a data-driven manner.

She received a bachelor’s degree in technical mathematics and a master’s degree in biomedical engineering from the Technical University of Vienna. In her master’s thesis, titled “Finding the Homeostatic Set Point of the Hypothalamus-Pituitary-Thyroid Axis with Different Modelling Approaches”, she analyzed different methods to calculate the hypothalamus-pituitary function, which is needed to calculate the homeostatic set point. Furthermore, the derived function has been validated with a medical data set from the Medical University of Vienna.