Johannes Gutenberg University Mainz
Institut für Informatik
Staudingerweg 9
55128 Mainz, Germany
E-Mail: deboer@uni-mainz.de
Room: 03-112
Research Interests
- Knowledge graphs for integration of background knowledge in data driven prediction
- Machine learning applications in life sciences and environment protection
- Multi-Omics-based predictions
- Secure multi-party computing
current research project: curATime - curATech
Short Scientific CV
since 07/2023 Research associate at Johannes Gutenberg University in Mainz
10/2019 - 12/2020 Research associate at Johannes Gutenberg University in Mainz
10/2016 - 07/2018 Computer Science (M.Sc.) at Johannes Gutenberg University in Mainz
10/2013 - 09/2016 Business Informatics (B.Sc.) at Rhine-Main University of Corporative Education in Rödermark
Teaching
- Supervision of student theses in Data Mining Seminar (ST 2020, ST2024), Machine Learning Seminar (WT 2020, WT 2023, WT2024), and master seminars and theses
- Assistant in Computational Logics (ST 2020)
- Lecturer in Basiskurs: Python (zur Datenanalyse) (Studium Generale, 2020)
- Assistant in Software Engineering (WT 2019/2020)
Publications
Boer, D., Koch, F. & Kramer, S. (2025). Harnessing the Power of Semi-Structured Knowledge and LLMs with Triplet-Based Prefiltering for Question Answering.
In: Proceedings of the International Conference on Reasoning and Learning (IJCLR 2024),
https://doi.org/10.48550/arXiv.2409.0086
Boer, D., & Kramer, S. (2020). Secure sum outperforms homomorphic encryption in (current) collaborative deep learning.
https://doi.org/10.48550/arXiv.2006.02894
Boer, D., Ahmadi, Z., & Kramer, S. (2019). Privacy preserving client/vertical-servers classification. In ECML PKDD 2018 Workshops: MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018, Proceedings 3 (pp. 125-140). Springer International Publishing.
https://doi.org/10.1007/978-3-030-13463-1_10