Curriculum Vitae

Below you can find a current curriculum vitae.
Please contact me if you have legitimate interest in a more detailed CV.


2022 — current

Ph.D. Student in Mathematics
Heidelberg University and Heidelberg Institute for Theoretical Studies, Heidelberg, Germany
Topic: Petabyte-scale image analysis for life sciences
Supervisor: Prof. Dr. Vincent Heuveline

2017 — 2022

Ph.D. Student in Mathematics
Heidelberg University, Heidelberg, Germany
Topic: Low-level image analysis on statistical manifolds
Supervisor: Prof. Dr. Christoph Schnörrr, change due to personal interest

2014 — 2016

Working Student
TNG Technology Consulting, Munich, Germany
Topic: Full-stack web development with a focus on frontend architecture


2014 — 2017

Master of Science Mathematics
Heidelberg University, Heidelberg, Germany
Master's Thesis: Perturbed Discrete Functionals for Image Labeling
During my master of science in Mathematics at Heidelberg University I focused on courses in mathematical data analysis and inparticular image analysis.


Erasmus semester
Utrecht University, Utrecht, Netherlands

2010 — 2014

Bachelor of Science Mathematics
TU Munich, Munich, Germany
Bachelor's Thesis: The Dirichlet Prime Number Theorem for arithmetic progressions

Selected Publications

A. Zeilmann, S. Petra, C. Schnörr: Learning Linearized Assignment Flows for Image Labeling. Journal of Mathematical Imaging and Vision, January 2023
DOI: 10.1007/s10851-022-01132-9
S. Haupt, A. Zeilmann, A. Ahadova, H. Bläker, M. von Knebel Doeberitz, M. Kloor, V. Heuveline: Mathematical modeling of multiple pathways in colorectal carcinogenesis using dynamical systems with Kronecker structure. PLOS Computational Biology, May 2021
DOI: 10.1371/journal.pcbi.1008970
A. Zeilmann, F. Savarino, S. Petra, C. Schnörr: Geometric numerical integration of the assignment flow. Inverse Problems, February 2020
DOI: 10.1088/1361-6420/ab2772
L. Cerrone, A. Zeilmann, F. Hamprecht: End-to-End Learned Random Walker for Seeded Image Segmentation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 15–20, 2019
DOI: 10.1109/CVPR.2019.01284