Derian Boer, M.Sc.

Johannes Gutenberg University Mainz
Institut für Informatik
Staudingerweg 9
55128 Mainz, Germany

E-Mail:
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