About me
I am a statistician and lecturer at the Zürcher Hochschule für Angewandte Wissenschaften (ZHAW) in Winterthur, Switzerland. I hold a Dipl.-Ing. in Technical Mathematics (Statistics & Business Mathematics, TU Wien) and a doctorate in Applied Medical Science (Dr.scient.med., Medical University of Vienna), and I am completing a second doctorate in Technical Mathematics.
My work combines rigorous statistical modelling, Bayesian methods, and machine learning across health research and applied domains — with a strong emphasis on reproducible, well-documented analytical workflows.
In 2026 I co-founded FAIR Press Journals GmbH, where I serve as Managing Director. FAIR Press Journals is an AI-native, reproducibility-first scholarly publisher: every submission's code and data are re-executed and certified as part of an agentic review pipeline that produces a structured verdict under a named human's sign-off, delivering a first editorial decision in hours to days rather than months. It is open access, leaves copyright with the authors, and applies income-tiered, waivable fees. The platform sets no cookies and uses no tracking. The first title is the Journal of Reproducible Statistics (JRepStat), which publishes methods, applications, replications and null findings on equal terms — judged on soundness rather than novelty or prestige.
Research interests
- Sleep & circadian epidemiology, shift work and shift work tolerance
- Biostatistics in physiotherapy & rehabilitation: reliability, validity, mixed models
- Bayesian statistics and statistical modelling
- Causal inference from observational data; tooling for correct adjustment
- Meta-research and reproducibility: how statistical practice goes wrong, and what it costs
- Machine learning and artificial intelligence in research
- Precision apiculture: modelling honey-bee colony dynamics