Resume
I am currently taking a year off, sailing Contigo, a 39 foot sailing yacht, from the Caribbean to Europe. I am looking for a new position starting October 2026.
Education
- ETH AI Center, Doctoral Fellow (2021 - 2025)
- Supervised by Peter Bühlmann (Statistics) and Gunnar Rätsch (Biomedical Informatics)
- Thesis: Using data heterogeneity for causal effect estimation and robust prediction
- ETH Zürich, MSc Mathematics (2017 - 2019)
- Exchange semester at Princeton University (2017 - 2018)
- ETH Zürich, BSc Mathematics (2014 - 2018)
- Exchange semester at EPF Lausanne (2017)
Work Experience
- QuantCo, Data Scientist / Data Engineer (2019 - 2021)
- Risk modeling of motor insurance claims at a large German insurance provider
- Novartis, Statistical Scientist (part-time, 2018 - 2019)
- Developed a financial forecasting model for Novartis’ Global Drug Development division
Selected Publications and Preprints
Londschien M., Burger M., G. Rätsch, and Bühlmann P. (2026) Domain generalization and adaptation in intensive care with anchor regression, RSS Data Science and Artificial Intelligence
Londschien M. and Bühlmann P. (2026) Weak-instrument-robust subvector inference in instrumental variables regression: A subvector Lagrange multiplier test and properties of subvector Anderson-Rubin confidence sets, Journal of Econometrics
Londschien M. (2025) A statistician’s guide to weak-instrument-robust inference in instrumental variables regression with illustrations in Python, arXiv
Burger M., Chopard D.*, Lichtner G.*, Londschien M.*, Sergeev F.*, Fuchs M., Yèche H., Kuznetsova R., Faltys M., Gerdes E., Leshetkina P., Christ M., Schanz M., Göbel N., Bühlmann P., Grünewald E., Balzer F., and Rätsch G. (2025) A foundation model for intensive care: Unlocking generalization across tasks and domains at scale, medRxiv
Londschien M., Bühlmann P. and Kovács S. (2023) Random Forests for Change Point Detection, Journal of Machine Learning Research
Awards
Willi Studer Prize (2020), ETH Zürich, for graduating top of my class in mathematics
Master and Opportunity Award (2017), ETH Foundation, awarded based on talent and performance