About

What

• Statistical consultancy for scientific studies and research, in particular

  • Clinical trials

  • CMC (Chemistry, Manufacturing, and Control)

  • DoE (Design of Experiments)

  • RWE (Real-World Evidence)

  • Impact evaluations

• Data science support for machine learning, prediction modeling, data processing, data mining, visualizations/dashboards

• Education and tutoring for statistics and statistical software use (e.g., programming in R, Stan, SAS)

Who

I am Stefan, a statistician based in Berlin, Germany, who has worked in academia, private industry, and federal healthcare regulation, routinely operating advanced methods in statistics and data science. This includes clinical trial planning and analyses, risk modeling, exploration of high-dimensional biomedical data sets, statistical quality control, and causal inference methods for observational studies. I have many years of experience in consulting researchers and decision-makers on the production, use and effective communication of quantitative evidence. My applied research portfolio spans work in medical sciences, biology, ecology, and social sciences. I hold a Master’s degree in Statistics and Data Science and have taught experimental design and data analysis at Berlin’s Universities of Applied Sciences. Multiple clients from industry, academia, and the non-profit sector (NGOs) have worked with me successfully in the past.

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