Sophie Langbein
- Department: Statistical Methods in Epidemiology
- Unit: Emmy Noether Junior Research Group: Beyond Prediction - Statistical Inference
Education - since 2022: PhD Candidate Interpretable Machine Learning, University of Bremen
- 2020-2022: M.Sc. Statistics and Data Science, Catholic University of Leuven
- 2018-2019: Chinese Language Program, Tsinghua University
- 2017: Exchange Semester, Xiamen University
- 2015-2018: B.Sc. Economics, University of Mannheim Work Experience - since 11/2022 Research Associate, Leibniz BIPS
- 03/2020-08/2020: Advanced Analytics and Automotive Intelligence Intern, Daimler AG, Stuttgart
- 09/2019-03/2020: Big Data Analytics Sustainability Services Intern, KPMG AG, Munich
- 2020-2022: M.Sc. Statistics and Data Science, Catholic University of Leuven
- 2018-2019: Chinese Language Program, Tsinghua University
- 2017: Exchange Semester, Xiamen University
- 2015-2018: B.Sc. Economics, University of Mannheim Work Experience - since 11/2022 Research Associate, Leibniz BIPS
- 03/2020-08/2020: Advanced Analytics and Automotive Intelligence Intern, Daimler AG, Stuttgart
- 09/2019-03/2020: Big Data Analytics Sustainability Services Intern, KPMG AG, Munich
Machine Learning for Survival Analysis
Explainable AI
Explainable AI
2017 : Student Teaching Assistant Statistics for Bachelor Students in Economics (University of Mannheim) 2023/2024 : Teaching Assistant Interpretable Machine Learning (University of Bremen)
The responsibility for the content of this page lies with Sophie Langbein.
