Resume
Work Experience
- ETH AI Center, Doctoral Fellow (since 2021)
- QuantCo, Data Scientist / Data Engineer (2019 - 2021)
- Novartis, Statistical Scientist (part-time, 2018 - 2019)
Education
- 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)
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
Publications
Londschien M. and Bühlmann P. (2024) Weak-instrument-robust subvector inference in instrumental variables regression: A subvector Lagrange multiplier test and properties of subvector Anderson-Rubin confidence sets arXiv:2407.15256
Londschien M., Bühlmann P. and Kovács S. (2023) Random Forests for Change Point Detection Journal of Machine Learning Research
Londschien M., Kovács S. and Bühlmann P. (2020) Change point detection for graphical models in the presence of missing values Journal of Computational and Graphical Statistics