My name is Alexander Zeilmann and I am a Ph.D. student in mathematical modeling and image analysis for biomedical applications. I research and teach at the Heidelberg University and the Heidelberg Institute for Theoretical Studies for the Engineering Mathematics and Computing Lab.

Before that, I worked and studied mathematics in Heidelberg, Munich and Utrecht.
In my free time, I enjoy logic puzzles, photography and hiking with my partner.

Research Interests

My research interests currently focusses on petabyte-scale image analysis, i.e., the analysis of large 3D volume image datasets. Here I am developing algorithms and workflows in particular for image segmentation. I partner with several research groups in order to apply these methods to a variety of biomedical data sets coming from all areas of life sciences and generated by different imaging modalities.

From a more general perspective, I am interested in the intersection of mathematical modeling and sensible artificial intelligence and how these two fields can be combined and benefit from each other for the advancement of biomedical research.

KI-Morph — A platform for petabyte-scale image analysis

I am the organizational lead for the BMBF-funded collaborative project KI-Morph, which aims to develop a platform and infrastructure for petabyte-scale image analysis. For this we are partnering with researchers from the Karlsruhe Institute of Technology, the Museum of Natural History Stuttgart, the Centre for Organismal Studies Heidelberg, and the Heidelberg University Computing Center. Here we focus also on usability, energy efficiency and algorithmic fairness of the used algorithms.