Research interest
I studied environmental modeling at the University of Oldenburg, where I focused on methods in non-linear dynamics, network science and machine learning. Through a research internship in a social listening lab in Chile I got excited about the intersection of social science and complexity science, especially in the context of social media, to better understand opinion formation processes, polarization or the emergence of trends. I followed this interest in my Master's Thesis where I worked on predicting tipping points of an opinion dynamical network model.
In my PhD I am working on the development of new approaches to understand the spreading dynamics of contagious disease by advancing the data driven integration of population structure and reactivity in mathematical models. Contagions are fundamental processes where some entity propagates through a population and the structure of this population is critical for the macroscopically observable outcome of the contagion, e.g., a local outbreak of a disease or a global pandemic; a small bushfire or a large scale wildfire; a niche idea or a revolution. Hence, it is critical to have a useful integration of the population structure in our models.
Vita
2025-Today PhD Student at Helmholtz Institute for Functional Marine Biodiversity at the University of Oldenburg
2024 Internship at the Federal Press Office in the Department for Strategies for Dealing with Disinformation
2021-2024 Master in Environmental Modeling at the University of Oldenburg
2023 Research Internship at the Social Listening Lab at the Catholic University in Chile
2020/21 Research internships at the Helmholtz Center Hereon in Geesthacht (working group: environmental modeling) and at the Federal Environment Agency in Dessau (working group: inland waters)
2017-2020 Bachelor in Environmental Sciences at the University of Lueneburg