About me

I am a first-year PhD student at the research group for Machine Learning and Security under the supervison of Konrad Rieck within the Berlin Institute for the Foundations of Learning and Data.

Previously, I completed a double master's degree in Computer Science and Cybersecurity at the Technical University of Munich and the Institut Polytechnique de Paris.

I hold a B.Sc. in Computer Science from LMU Munich.


Publications

You can find my articles on my Google Scholar profile.

ThreatCompute: Leveraging LLMs for Automated Threat Modeling of Cloud-Native Applications

Wimbauer, A., Muscariello, L., Samain, J., Steger, L., Glas, K., Helm, M., & Carle, G. (2025). ThreatCompute: Leveraging LLMs for Automated Threat Modeling of Cloud-Native Applications. In Proceedings of the 2025 Cloud Computing Security Workshop (pp. 14-27). Association for Computing Machinery. https://doi.org/10.1145/3733812.3765533
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Building Industrial Data Platforms — A Case Study on Introducing Data Mesh

Kernstock, P., Biermann, K., Sartor, S., Wimbauer, A., Bohnet, J., Böttcher, T. P., & Hein, A. (2024). Building Industrial Data Platforms — A Case Study on Introducing Data Mesh. ECIS 2024 Proceedings, 2. https://aisel.aisnet.org/ecis2024/track10_dmds_ecosystems/track10_dmds_ecosystems/2
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PErrCas: Process Error Cascade Mining in Trace Streams

Wimbauer, A., Richter, F., Seidl, T. (2022). PErrCas: Process Error Cascade Mining in Trace Streams. In: Munoz-Gama, J., Lu, X. (eds) Process Mining Workshops. ICPM 2021. Lecture Notes in Business Information Processing, vol 433. Springer, Cham. https://doi.org/10.1007/978-3-030-98581-3_17
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