Maren studied Biology (B.Sc.) and Life Science Informatics (M.Sc.) before joining the group to leverage mathematical methods for exploring biological processes at the systems level. Her PhD research focuses on developing methods that combine mechanistic modelling and deep learning to study partially understood biological systems. A central theme of her work is improving interpretability through regularisation. She also employs mathematical modelling to explore the coordination of biochemical processes, such as endocrine regulation and information processing. Current projects include (1) mechanistic modelling of the hypothalamic–pituitary–adrenal (HPA) axis, and (2) signal transduction at the cell membrane. Collaboration opportunities and scientific exchange are gladly received by email, particularly on endocrine systems biology.