Hannah Schuster has been a PhD candidate at the Complexity Science Hub since December 2021.
She received a bachelor’s degree in technical mathematic and a master’s degree in biomedical engineering from TU Wien. In her master’s thesis, titled “Finding the Homeostatic Set Point of the Hypothalamus-Pituitary-Thyroid Axis with Different Modelling Approaches”, she analysed 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 at the Section for Science of Complex Systems at the Vienna University of Economics and Business.
Hannah’s main research interests are centred around mathematical modelling 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.