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I studied physics in Frankfurt, Mainz and Florence. My masters degree I pursued in the field of computational neuroscience at the Frankfurt Institute for Advanced Studies, where I worked on self-organization and temporal dynamics in complex networks. In May 2018, I began my PhD-studies in the Koeppl lab at TU Darmstadt.
I am interested in understanding and quantitatively modelling biological processes on the cellular and intra-cellular level. Technological advances endow us with the means to record data on ever-increasing scale and resolution; however, large data sets alone do not necessarily provide much insight. Suitable models are needed that are flexible enough to explain the data, yet simple enough to capture only “relevant” information and be computationally tractable. This is particularly challenging in microbiology, where typically diverse and fluctuating multi-agent systems interact on different time and length scales. Probabilistic modelling and inference are particularly well-suited tools for these purposes. My research hence focuses on the adaptation and extension of such tools and methods from mathematics and statistics to biological questions. Currently, I am working on Bayesian models for RNA folding dynamics.