Welcome to CSB

The capability of biological systems to respond to environmental changes is realized by a complex dynamic adjustment of the interplay between genes, proteins and metabolites. For a deeper understanding at the systems level, we need to study the structure and dynamics of cellular and organismal functions rather than the characteristics of isolated parts of a cell or an organism.


What our research is aiming for

The main focus of our group is the application and development of computational methods to process and integrate quantitative biological data from modern high-throughput measurements to gain novel insights into plant acclimation responses. Therefore, we want to drive theory and technology forward with a combination of biological science, applied informatics and statistical approaches.


Our research team on CSB

Timo Mühlhaus (Junior Professor)

Timo Mühlhaus

Junior Professor
Alexander Lüdemann ()

Alexander Lüdemann

Scientific Programmer
Sabrina Gödel (PhD Student)

Sabrina Gödel

PhD Student
Nathan Mikhaylenko (PhD Student)

Nathan Mikhaylenko

PhD Student

David Zimmer


Esther Wieczorek


Paul Menges


Robert Labus


Lukas Weil


Kevin Schneider

  • 2016
    Sabrina Gödel (Master Student)
    Lukas Weil (Bachelor Student)
  • 2015
    Esther Wieczorek (Bachelor Student)
    Paul Menges (Bachelor Student)


View our latest publications

The Plant Cell 26
Quantitative shotgun proteomics using a uniform 15N-labeled standard to monitor proteome dynamics in time course experiments reveals new insights into the heat stress response of Chlamydomonas reinhardtii
Mühlhaus, T.*, Weiss, J.*, Hemme, D.*, Sommer, F., and Schroda, M. (2011).
Molecular & cellular proteomics
Nitrogen-Sparing Mechanisms in Chlamydomonas Affect the Transcriptome, the Proteome, and Photosynthetic Metabolism
Schmollinger, S.*, Mühlhaus, T.*, Boyle, N.R.*, Blaby, I.K., Casero, D., Mettler, T., Moseley, J.L., Kropat, J., Sommer, F., Strenkert, D., Hemme, D., Pellegrini, M., Grossman, RA., Stitt, M., Schroda, M. and Merchant

Open Source

Take a look on our public repositories on github. Feel free to contribute!

View Github


Faculty Impressum Datenschutz

Jun. Prof. Dr. Timo Mühlhaus
Computational Systems Biology

University of Kaiserslautern
Erwin-Schrödinger-Str. 56 R244
67663 Kaiserslautern, Germany

+ 49 631 205 4657
+ 49 631 205 2999