Ulrike Grömping

Ulrike Grömping is a Professor of Applied Statistics and Business Mathematics at Beuth University of Applied Sciences Berlin, Department of Mathematics, Physics, and Chemistry. She specializes in Design of Experiments (DoE), statistical computing with R, and variable importance in regression models. Her academic career includes roles at Dortmund University and Ford Motor Company. She is a Book Review Editor for the Journal of Statistical Software and contributes to R packages such as DoE.base, FrF2, and relaimpo. She holds a PhD in Statistics from Dortmund University (1996) and has published extensively on factorial designs, algorithmic methods, and statistical methodology.

• Education:
  • 1991: Diploma in Statistics, Dortmund University
  • 1996: PhD in Statistics, Dortmund University
• Research Interests: Design of Experiments, statistical software development, regression analysis, biostatistics, and combinatorial optimization.
• Professional Roles:
  • Book Review Editor, Journal of Statistical Software
  • Editor of Departmental Report Series
  • Freelance Statistical Consultant
• Software Contributions: Maintainer of R packages for DoE and statistical inference, including DoE.base, FrF2, and ic.infer.

Her work bridges theoretical statistics with practical applications, emphasizing reproducible research and open-source tools. She collaborates across disciplines, including biotechnology and transportation safety, and has advised on EU-funded projects like TRACE.