SOS Team Members

Mark Sinzger

PhD student

Contact

work +49 6151 16-57 247
fax +49 6151 16-57 241

Work S3/19 1.8
Rundeturmstraße 12
64283 Darmstadt

About

Mark Sinzger joined SOS Lab in April 2019, after completing his master's degree at TU München in Mathematics in Bioscience. His interest in mathematics is rooted in highschool, when he participated in math competitions, such as Landeswettbewerb Baden-Württemberg, Bundeswettbewerb and Mathematical Kangaroo. In 2015, during his bachelor in mathematics at the University of Tübingen, he participated in the Romseminar. This extracurricular academy was called into existence by Prof. Rainer Nagel as an opportunity to put math into different contexts. In 2017, during his master's, he successfully participated in the IMC, International Math Competition, in Blagoevgrad, Bulgaria. He wrote his master's thesis with Prof. Jan Hasenauer and Prof. Heinz Koeppl on “Approximations to the CIR modulated Birth Process with Applications in Heterogeneous Chemical Reaction Networks”.

His research interests lie in doubly stochastic Poisson processes, martingale theory, filtering theory for point processes, modeling of cell-to-cell heterogeneity and information transmission in cells.

Publications

Sinzger, Mark ; Vanhoefer, Jakob ; Loos, Carolin ; Hasenauer, Jan (2019):
Comparison of null models for combination drug therapy reveals Hand model as biochemically most plausible.
In: Scientific Reports, 9, Springer Nature, e-ISSN 2045-2322,
DOI: 10.1038/s41598-019-38907-x,
[Article]

Sinzger, Mark ; Gehri, Maximilian ; Koeppl, Heinz (2020):
Poisson channel with binary Markov input and average sojourn time constraint.
In: 2020 IEEE International Symposium on Information Theory: Proceedings, pp. 2873-2878,
IEEE, 2020 IEEE International Symposium on Information Theory (ISIT'20), virtual Conference, 21.-26.06.2020, ISBN 978-1-7281-6432-8,
DOI: 10.1109/ISIT44484.2020.9174360,
[Conference or Workshop Item]

Sinzger, M. ; Gehri, M. ; Koeppl, H. (2020):
Poisson channel with binary Markov input and average sojourn time constraint.
pp. 2873-2878, ISIT'20 - International Symposium on Information Theory, virtual online conference, 21.-26. June 2020, ISBN 978-1-7281-6433-5,
DOI: 10.1109/ISIT44484.2020.9174360,
[Conference or Workshop Item]

Cui, K. ; Tahir, A. ; Sinzger, M. ; Koeppl, H. (2021):
Discrete-Time Mean Field Control with Environment States.
Preprint, 60th Conference on Decision and Control (CDC2021), Austin, USA, 13.-15.12.2021, [Conference or Workshop Item]

Possible student projects you can find here.