Scholar
Ludwig Bothmann
Google Scholar ID: TYrvJm0AAAAJ
Postdoctoral Researcher, LMU Munich
Citations & Impact
Citations
183
H-index
9
i10-index
7
Publications
20
Co-authors
0
Publications
Cited
0
Resume (English only)
Academic Achievements
- Scheduled to give a talk titled 'Privilege Scores' at Statistical Computing 2025 on July 30, 2025; and two talks on algorithmic fairness at EWAF - European Workshop on Algorithmic Fairness 2025 on July 1, 2025, in Eindhoven, The Netherlands.
Research Experience
- Since August 2020, part of this chair. Previously, worked for nearly three years as a Data Scientist and Data Science Lead at an insurance company, implementing various data science use cases from initial idea to production.
Education
- Holds a Diploma Degree (Dipl. - Stat.) in Statistics and a PhD (Dr. rer. nat.) focused on efficient statistical analysis of video and image data. During his PhD, he worked under the supervision of Prof. Dr. Göran Kauermann at the Chair of Applied Statistics in Social Sciences, Economics, and Business at LMU.
Background
- A postdoctoral researcher at the Chair of Statistical Learning and Data Science, with main research interests in fair machine learning, uncertainty quantification, causal inference, interpretable ML, and application of ML and DL in other sciences. Leads the Causal and Fair Machine Learning research group, is a junior member of the Munich Center for Machine Learning (MCML), and a founding member of its Machine Learning Consulting Unit (MLCU).
Miscellany
- Can be found on GitHub, Google Scholar, ORCiD, ResearchGate, and LinkedIn.
Co-authors