Behind every intricate stats model or high-dimensional dataset is a story waiting to be structured. I combine statistical precision with intuitive design to give data a clear voice.
Wilhelm von Humboldt famously noted that connections with people give life its value. For me, that web extends further: into nature, the places around us and the scientific frameworks we develop to understand them.
My path into data science grew out of an early curiosity about how the world actually works: from macroeconomics and political systems to the subtle mechanics of human psychology and decision-making. I am still driven by that curiosity, and I am fascinated by the ways in which data, tech and science tools, but most importantly clear targeting and communication, can help us understand and improve the world around us.
Data science should clarify, not obfuscate. This mindset drives my technical work, academic research and educational contributions.
I have a particular interest in network and geospatial data science, and I enjoy building models that help people make better decisions. I also love teaching and facilitating workshops because I believe that sharing knowledge is one of the most powerful ways to create impact.
Bridging high-dimensional data science, market strategy and clear communication across industries.
VHV Allgemeine — composite insurance company of the VHV group
Analytics and market pricing across property, liability and personal insurance lines. Leading cross-departmental AI integration and automation initiatives to facilitate strategic decisions.
Nala Earth
Engineered geospatial data pipelines and integrated various data sources into a unified software platform, combining spatial analytics with full-stack tool development.
Leibniz University Hannover
Developed novel methodologies for statistical process monitoring in network structures and neural network architectures. Conducted international research at Lancaster University and Télécom ParisTech.
Research, invited talks and interactive workshops at the intersection of statistical monitoring, spatial analysis and career transitions.
Methodology published in Technometrics focusing on detecting data drift and structural changes in neural network models over time.
View publication website →Invited seminar talk at UCLouvain (Prof. Christian Ritter) exploring how spatial analytics move beyond traditional tabular paradigms.
View project →Interactive workshop for PhDs and Postdocs focused on translating academic rigour into industry impact with clarity and confidence.
View project excerpt →Published research in JRSS Series C using novel temporal edge network processes to monitor cross-border European physical electricity flows.
View publication website →