I am an expert in statistical analysis, modelling and inference of coupling and causality in complex systems. I did my PhD in Space Physics at the University of Cologne with application in plasma turbulence of planetary magnetospheres. I then moved to the field of Neuroscience, where I worked on Deep Brain Stimulation data in Parkinson’s disease and dynamical resting state networks derived from M/EEG and massively parallel spike trains. As a scientific coordinator and data science consultant I am skilled in project management and in the translation of real-world problems into quantitative models.

Apart from my work as Data Scientist, I am an editor for the Scientists for Future Podcast and try to make the climate impact of products visible using augmented reality (see GreenScore). In my spare time I enjoy spending time with my wife and my two boys and occasionally play the saxophone.


Data Science in single-cell analytics (since 2019)

Data Science Consultant at Comma Soft AG, Bonn, Germany

Since 2019 I work as data science consultant in the Life Science Department at Comma Soft in Bonn, Germany, with a focus on single-cell genomics in the industrial and academic sector. I am principal investigator in the HCA-Project discovAIR and part of the team behind the single-cell analytics and collaboration platform FASTGenomics that provides cloud-based data management and analytical software environments for the single-cell community.

Validation and modelling of cortical activity (2017-2018)

Postdoc in Computational Neuroscience at Research Centre Jülich, Jülich, Germany

Research assistant and scientific coordinator in the Human Brain Project, co-developed Python package NetworkUnit for statistical validation of spiking neuronal network models and developed an estimator of active motor cortical states based on dynamic functional connectivity of massively parallel spike trains.


Causal inference in electrophysiology (2014-2017)

Postdoc in Clinical Neuroscience at University Hospital Cologne & Heinrich-Heine University Düsseldorf, Germany

Developed wavelet-based methods for phase-dependent reconstruction of coupled time series and time- and frequency-resolved nonparametric Granger causality. Estimated causality between brain regions and muscle activity during tremor using transfer entropy.


Turbulence in Saturn's magnetosphere (2011-2014)

PhD in Space Physics at University of Cologne, Germany

First to show that Saturn’s magnetosphere is in a turbulent state using wavelet analysis of magnetic field data. Detected temporal and spatial patterns in nine years of data and developed a parametric model to explain observed electron temperatures.