Malte Londschien

Malte Londschien

ETH AI Center Doctoral Fellow

Software

  • ivmodels: Instrumental variables regression in Python. Software package accompanying Londschien and Bühlmann (2024). See docs. Available on PyPI and conda-forge.
  • changeforest: Classifier-based change point detection. Software package accompanying Londschien, Bühlmann, and Kovács (2023). Written in Rust, with R and Python bindings. Available on crates.io, PyPI, and conda-forge (R, Python).
  • biosphere: Simple, fast random forests in Rust. Dependency of changeforest. With Python bindings. Available on crates.io, PyPI, and conda-forge.
  • anchorboost: The anchor regression loss and its distributional extension for LGBM.
  • crispybeefbot: Get notified about your favorite meals at the ETH Mensa.

I have experience using and made contributions to open-source software such as dask, LightGBM, numpy, pandas, polars, scikit-learn, and scipy.