From January 2023

Supply Chain Data Analyst at ZF Group

From January 2022

Doctoral student at the Chair of Management, Human Resources and Information at the University of Passau

2021-2022

Business Specialist at DRÄXLMAIER Group

2020-2021

Part-time master studies in "Business Informatics" (M.Sc.) at the FernUniversität in Hagen with focus on Machine Learning and Junior Project Manager in the area of Battery Systems Development at DRÄXLMAIER Group

2018-2020

Participation in the trainee program of the DRÄXLMAEIR Group in the area of development battery systems.

2014-2017

Bachelor studies ,,Industrial Engineering" (B.Sc.) at the RWTH Aachen University with focus on electrical power engineering

• Stoffels, D., Faltermaier, S., Strunk, K. S., & Fiedler, M. (2024). Guiding Computationally Intensive Theory Development with Explainable Artificial Intelligence: The Case of SHAP. Journal of Information Technology, 0(0). https://doi.org/10.1177/02683962241289597

• Stoffels, D., Grabl, S., Fischer, T., & Fiedler, M. (2023). How Explainable AI Methods Support Data-Driven Decision Making. Wirtschaftsinformatik 2023 Proceedings, Paderborn. aisel.aisnet.org/wi2023/31

• Fischer, T., Faltermaier, S., Stoffels, D., & Fiedler, M. Gaining Physiological Insight into Satisfaction with XAI Explanations: A Call for Research. Proceedings of the NeuroIS Retreat, Vienna, 2023.

• Stoffels, D., Faltermaier, S., Strunk, K., & Fiedler, M. (2022). Opening the Black-Box of AI: Challenging Pattern Robustness and Improving Theorizing through Explainable AI Methods. Proceedings of the 42th International Conference on Information Systems (ICIS), Copenhagen, 2022. https://aisel.aisnet.org/icis2022/ai_business/ai_business/11