- Missing Data
- Multiple Imputation
- Sensitivity Analysis
- Survey Methodology
- Nonresponse IPD Meta-Analysis
I am a Lecturer ("Akademische Rätin") at the Ludwig-Maximilians-Universität München (LMU), where I lead the Introduction to Statistics lecture and contribute to various projects at the Chair for Statistics and Data Science in Social Sciences and the Humanities. My research interests span survey methodology, synthetic data, and large language models, and their implications for society. I use R as my main programming language, as well as Stata, Python, SQL, and SPSS. I am passionate about teaching data science and statistics to students and professionals from diverse backgrounds and disciplines.
With a PhD in Survey Statistics from the University of Mannheim, I also am an Assistant Research Professor at the University of Maryland, where I teach statistics and method courses for the Joint Program in Survey Methodology (JPSM). The JPSM is an international initiative to train the next generation of survey and data scientists, in collaboration with the International Program in Survey and Data Science (IPSDS).
I am always open to new opportunities and challenges that allow me to leverage my skills and knowledge, and to learn from others. Please feel free to contact me if you have any questions or suggestions for collaboration. I look forward to hearing from you!
Google Scholar: https://scholar.google.de/citations?user=SEJi9MMAAAAJ&hl=de&oi=ao