Ursula Berger

PD Dr. Ursula Berger is a Senior Biostatistician and Epidemiologist at Ludwig-Maximilians University Munich's Department of Medical Informatics, Biostatistics and Epidemiology (IBE). She holds a Venia Legendi for Biostatistics and Epidemiology from LMU and has extensive experience in health research, including positions at the University of Glasgow, Universität Bielefeld, and as a consultant for IGES in Berlin.

Her research focuses on the evaluation of health programs and interventions, health inequality research, and risk factor assessment using models for complex data structures. Dr. Berger specializes in spatial epidemiology, statistical methods development, and the application of advanced biostatistical techniques to public health problems. She has made significant contributions to understanding health disparities, environmental health impacts, and pandemic response strategies.

Dr. Berger has supervised numerous doctoral and master's theses across diverse topics including spatial epidemiology, non-communicable diseases, environmental exposures, and health systems research. Her recent publications demonstrate expertise in statistical modeling of pandemic data, health inequalities, and methodological approaches to epidemiological challenges.

Her scientific recognition includes the Harald Mückter Teaching Innovation Award 2025 from the LMU Medical Faculty for her commitment to teaching and promotion of statistical competence in medical education. She has developed innovative educational tools including epiLEARNER, an interactive e-learning program for epidemiology and statistics.

As an educator, Dr. Berger coordinates and teaches advanced courses including Quantitative Methods, Survival Analysis, Multilevel Analysis, and Statistical Methods for Spatial Epidemiology. She has played a key role in restructuring epidemiology and biostatistics curriculum for medical students through the MeCuM Science program and has coordinated the development of a national catalogue of learning objectives in biostatistics.