Christian Wildner

Christian Wildner

PhD student

Rundeturmstraße 12
64283 Darmstadt

Office: S3/19 1.3

+49 6151 16-57 238
+49 6151 16-57 241


Christian Wildner studied physics at Technische Universitat Darmstadt and joined BCS in January 2017. During his Master’s project, he worked on simulations of fluorescence correlation spectroscopy experiments, where he also became interested in statistical inference.

At BCS he has shifted focus towards developing inference techniques for stochastic reaction systems.

Possible student projects you can be found here.


Prangemeier, T. ; Wildner, C. ; Francani, A. O. ; Reich, C. ; Koeppl, H. (2020):
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning.
IEEE, In: International Conference on Computational Intelligence in Bioinformatics and Computational Biology, virtual Conference, October 27-29, 2020, [Online-Edition:],

Wildner, Christian ; Koeppl, Heinz PMLR (Urheber) (2019):
Moment-Based Variational Inference for Markov Jump Processes.
97In: PMLR, In: Proceedings of Machine Learning Research, In: International Conference on Machine Learning, Long Beach, California, USA, June 9-15, 2019, S. 6766-6775, ISSN 2640-3498,

Prangemeier, T. ; Wildner, C. ; Hanst, M. ; Köppl, H. (2018):
Maximizing information gain for the characterization of biomolecular circuits.
In: 5th ACM International Conference on Nanoscale Computing and Communication (NANOCOM'18), Reykjavik, Iceland, September 05 - 07, 2018, DOI: 10.1145/3233188.3233217,

Schmitt, Christoph K. ; Wildner, Christian ; Drossel, Barbara (2016):
Noisy predator-prey model explains oscillation patterns in sockeye salmon data.
In: Journal of theoretical biology, 389Academic Press, S. 198-205, [Article]

go to TU-biblio search on ULB website