Maren Philipps
© Maren Philipps
Maren Philipps
ORCID iD 0000-0001-5456-6104
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Affiliations
  • Life and Medical Sciences Institute (LIMES)
Research topics
  • Systems Biology
  • Mechanistic Models of Dynamical Processes
  • Scalable Parameter Inference
  • Universal Differential Equations
  • High-Dimensional Data Analysis
Maren studied Biology (B.Sc.) and Life Science Informatics (M.Sc.) and then joined the group in March 2022 to explore complex biological processes on a systems level. Her focus lies on developing methods that combine mechanistic modeling and deep learning to explore partially understood biological processes. She aims to use these methods to model the coordination of biological processes across biological scales and sites, such as endocrine regulation of physiological processes and neuro-biochemical information processing.
Selected publications

Feldmann, C., Philipps, M., & Bajorath, J. (2021). Explainable machine learning predictions of dual-target compounds reveal characteristic structural features. Scientific Reports, 11(1), 1-11. https://doi.org/10.1038/s41598-021-01099-4

Stürner, T., Castro, A. F., Philipps, M., Cuntz, H., & Tavosanis, G. (2022). The branching code: A model of actin-driven dendrite arborization. Cell Reports, 39(4), 110746. https://doi.org/10.1016/j.celrep.2022.110746

Moreira, A., Philipps, M., & Van Riel, N. (2023, August). Parameter Estimation Of A Physiological Diabetes Model Using Neural Networks. In 2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) (pp. 1-8). IEEE, https://doi.org/10.1109/CIBCB56990.2023.10264904

Maren Philipps
© Maren Philipps
Maren Philipps

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Endenicher Allee 64

53115 Bonn