Profile
I am an applied statistician and data scientist with a background in mathematics, working as a statistical consultant for the analysis of clinical and medical data, as well as a senior researcher.
Statistical Consulting
Researchers and doctoral students at the Medical Faculty Mannheim of Heidelberg University and/or the University Medical Centre Mannheim: If you would like to schedule a statistical consulting session for your project, please contact me.
Research Interests
My research interests include:
- applied statistics and data science (with applications in medicine, psychiatry, epidemiology, bioinformatics, molecular biology, and meteorology),
- probabilistic forecasting and uncertainty quantification,
- dependence modeling,
- copulas,
- differential distributions,
- network analysis,
- multi-task learning, and
- federated learning and differential privacy.
Publications
Selected publications:
- Integrating differential privacy into federated multi-task learning algorithms in dsMTL, Bioinformatics Advances, 2025. [DOI]
- Differential network testing reveals diverging dynamics of organ system interactions for survivors and non-survivors in intensive care medicine, Frontiers in Physiology, 2022. [DOI]
- Fast identification of differential distributions in single-cell RNA-sequencing data with waddR, Bioinformatics, 2021. [DOI]
- Ensemble postprocessing methods incorporating dependence structures, 2018. [DOI]
- Uncertainty quantification in complex simulation models using ensemble copula coupling, Statistical Science, 2013. [DOI]
For a full list of my publications, working papers and software packages, please see here.
Teaching
In the summer semester of 2026, I am teaching seminars and exercises in biomathematics for medical students at the Medical Faculty Mannheim of Heidelberg University.
Contact
Theodor-Kutzer-Ufer 1-3, D-68167 Mannheim (Building 3, Level 4)
