I support research and applied projects in the analysis of complex datasets – from data preparation and statistical analysis to the clear presentation of results.

My work focuses on the analysis of health and real-world data (RWD) as well as on socio-scientific and demographic questions.

• Data preparation, cleaning and quality checks
• Statistical modelling and analysis (e.g. regression, time series analysis, cluster analysis)
• Development of data visualisations and interactive analyses (dashboards)
• Population and household projections as well as forecasting
• nalysis and interpretation of complex data in public health and socio-scientific contexts

• Delivery of practice-oriented training in data analysis with R
• Support in the application of statistical methods and the analysis of empirical data
• Development of teaching and training materials

• Support for scientific and data-driven questions in social and health-related contexts
• Design and implementation of empirical studies and analyses
• Guidance in data collection as well as support in the analysis and interpretation of results
• Advice on the presentation and communication of analytical findings