Hannah Schuster has been a PhD candidate at the Complexity Science Hub since December 2021.

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.

Hannah is also pursuing her PhD in Economic and Social Sciences at the Economical University of Vienna.

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.