Dr. Anna-Carolina Haensch

Research Interests

• Missing Data

• Multiple Imputation

• Sensitivity Analysis

• Survey Methodology

• Nonresponse IPD Meta-Analysis

Short Description

I am a Lecturer and Group Leader at Ludwig-Maximilians-Universität München (LMU), where I teach the Introduction to Statistics lecture and Master’s courses in Computational Social Science. At the Chair of Statistics and Data Science in the Social Sciences and Humanities, I lead interdisciplinary research projects that apply modern statistical and data science methods to questions in the social sciences and humanities.

My research focuses on survey methodology, synthetic data, and large language models (LLMs), with a particular interest in their roles in data collection, generation, imputation, and measurement, as well as their implications for data quality and validity. I also direct data-intensive projects on large-scale institutional and societal datasets, combining modeling, visualization, and data infrastructure development.

In parallel, I serve as an Assistant Research Professor at the University of Maryland, where I teach statistics and methodology in the Joint Program in Survey Methodology (JPSM). I am committed to high-quality statistical education and interdisciplinary collaboration and often supervise consulting projects as well as Theses on Bachelor, Master and PhD level.

From December 2025 to April 2026, I will be on parental leave.