Research interests
- Applications: Demand and revenue management in the automotive industry, supply chain networks
- Methodology: (Causal) Machine Learning, data-driven methods, Operations Research
Conference Participation
- 2025: 45th International Symposium on Forecasting, Beijing, Peking
- 2025: 34th European Conference on Operational Research, Leeds, UK
Education
- 02/2024-Present: PhD Candidate, TUM School of Management, Munich, Germany
- 04/2021-01/2024: M.Sc. Management & Technology, Technical University of Munich, Germany
- 08/2022-01/2023: Erasmus student, Eindhoven University of Technology, Netherlands
- 10/2016-05/2020: B.Eng. Industrial Engineering, Hochschule für Technik und Wirtschaft Dresden, Germany
Practical Experience
- 02/2024-Present: PhD Candidate, BMW AG, Munich, Germany
- 03/2023-12/2023: Working Student Supply Chain Consulting, CNX Consulting Partners, Munich, Germany
- 03/2023-09/2023: Master Thesis, Aldi Süd, Munich, Germany
- 08/2021-08/2022: Assistant Fleet Operations, Bolt, Munich, Germany
- 04/2021-08/2021: Working Student Vehicles & Supply Chain, TIER Mobility, Berlin, Germany
- 09/2020-02/2021: Intern Operational Excellence, Durstexpress KG, Berlin, Germany
- 08/2019-12/2019: Intern Container Management, BMW AG, Leipzig, Germany
- 08/2018-07/2019: Working Student Business Development, Emec-Prototyping GmbH, Dresden, Germany
