Ludwig Bothmann


I am a postdoctoral researcher at the Chair of Statistical Learning and Data Science in the Department of Statistics at the LMU Munich. I have a Diploma Degree (Dipl. - Stat.) in Statistics and a PhD (Dr. rer. nat.) in Statistics with focus on efficient statistical analysis of video and image data. During my PhD I worked at the Chair of Applied Statistics in Social Sciences, Economics and Business at the LMU, under the supervision of Prof. Dr. Göran Kauermann. Afterwards I worked for nearly three years as Data Scientist and Data Science Lead for an insurance company, implementing various data science use cases from first idea to production.
Since August 2020, I am part of this chair. My main research interests include fairML, uncertainty quantification, causal inference, interpretable ML and application of ML and DL in other sciences. I am leading the research group on Causal and Fair Machine Learning.


Institut für Statistik

Ludwig-Maximilians-Universität München

Ludwigstraße 33

D-80539 München

Ludwig.Bothmann [at]

You Can Find me on


Prior teaching:



  1. Bothmann, L., Wimmer, L., Charrakh, O., Weber, T., Edelhoff, H., Peters, W., Nguyen, H., Benjamin, C., & Menzel, A. (2023). Automated wildlife image classification: An active learning tool for ecological applications. ArXiv:2303.15823 [Cs, Stat].
  2. Bothmann, L., Peters, K., & Bischl, B. (2023). What Is Fairness? Philosophical Considerations and Implications For FairML. ArXiv:2205.09622 [Cs, Stat].
  3. Bothmann, L. (2022). Künstliche Intelligenz in der Strafverfolgung. In K. Peters (Ed.), Cyberkriminalität. LMU Munich.
  4. Ghada, W., Casellas, E., Herbinger, J., Garcia-Benadí, A., Bothmann, L., Estrella, N., Bech, J., & Menzel, A. (2022). Stratiform and Convective Rain Classification Using Machine Learning Models and Micro Rain Radar. Remote Sensing, 14(18).
  5. Bothmann, L., Strickroth, S., Casalicchio, G., Rügamer, D., Lindauer, M., Scheipl, F., & Bischl, B. (2021). Developing Open Source Educational Resources for Machine Learning and Data Science. ArXiv:2107.14330 [Cs, Stat].
  6. Matiu, M., Bothmann, L., Steinbrecher, R., & Menzel, A. (2017). Monitoring succession after a non-cleared windthrow in a Norway spruce mountain forest using webcam, satellite vegetation indices and turbulent CO 2 exchange. Agricultural and Forest Meteorology, 244–245, 72–81.
  7. Bothmann, L., Menzel, A., Menze, B. H., Schunk, C., & Kauermann, G. (2017). Automated processing of webcam images for phenological classification. PLoS ONE, 12(2): e0171918.
  8. Bothmann, L. (2016). Efficient statistical analysis of video and image data [PhD thesis, Ludwig-Maximilians-Universität München].
  9. Bothmann, L., Windmann, M., & Kauermann, G. (2016). Realtime classification of fish in underwater sonar videos. Journal of the Royal Statistical Society: Series C (Applied Statistics), 65(4), 565–584.
  10. Kalus, S., Bothmann, L., Yassouridis, C., Czisch, M., Sämann, P., & Fahrmeir, L. (2014). Statistical modeling of time-dependent fMRI activation effects. Human Brain Mapping, 36(2), 731–743.
  11. Bothmann, L. (2012). Statistische Modellierung von EEG-abhängigen Stimuluseffekten in der fMRT-Analyse [PhD Thesis].