Hi, I'm Jan.
A statistician and product manager based in Zurich. I recently completed my Master's in Statistics at ETH Zurich, specializing in probabilistic AI, high-dimensional statistics, and causality. My work focuses on understanding and improving how machine learning systems make decisions — from interpreting generative models to building robust methods for high-stakes applications like climate forecasting and reinsurance.
When I'm not working on difficult (for me) problems, you'll find me cycling, taking pictures of nature's beauty, running, in the gym, building PCs, or getting lost — intentionally — in GeoGuessr.
Education
M.Sc. ETH in Statistics
- Focus: (Probabilistic) Machine Learning, Statistical Learning Theory, Computational Statistics, Causality
- Thesis: Mechanistic Interpretability in Text-to-Image Diffusion Models (6.00 / 6.00)
- Semester Paper: Extrapolation and Distributional Robustness for Climate Downscaling
B.A. in Business and Economics
- Major: Banking and Finance · Minor: Statistics
- Thesis: Portfolio Value at Risk Forecasting with Copula-GARCH Models (6.00 / 6.00)
- Completed 215 ECTS (vs. standard 180), focused on quantitative finance, statistics, and computing
Experience
Product Manager – Quantitative Modelling
- Developed robust high-dimensional covariance estimation methods and portfolio optimization techniques for Agriculture reinsurance, with applicability across multiple reinsurance contexts
- Drive quantitative steering initiatives across product lines, providing portfolio modelling insights to underwriters and senior management
- Currently on a part-time rotation in P&C Re Underwriting Strategy
- Spearhead innovation projects in causal machine learning and probabilistic forecasting
Biostatistics Research Assistant
- Contributed to data and code management and reproducible statistical workflows for a COVID-19 cohort study published in Nature Communications
- Applied statistical modelling techniques to complex longitudinal datasets and presented the results to principal investigators and the research team
Accountant (Military Service)
- Successfully balanced full-time university studies with mandatory military service obligations
- Managed the complete accounting for a 150-person military unit
Teaching Assistant Mathematics
- Led twice-weekly tutorials covering Analysis and Linear Algebra for groups of up to 30 students
Awards
Willi Studer Prize
Research interests
Skills
Get in touch
Happy to talk research, reinsurance modelling, or collaboration — reach out by email or connect on LinkedIn / GitHub.