Research

A primary research interest of the group is deciphering the complex and diverse cell-cell interaction landscape in the mammalian immune response.

We develop and apply a broad set of tools comprising data-driven mathematical modeling techniques (ODE, PDE, models with distributed delay), as well as advanced machine-learning methods for high-dimensional data analysis (single-cell sequencing, spatial proteomics). 

Together with exerimental and clinical partners, we investigate immune-cell dynamics in the context of cancer immunotherapy, chronic inflammation, infectious diseases.

Selected publications

Horn V#, Cancino C#, Steinheuer L#, ... KT*, Hegazy AN*. Gastroenterology 2024.  https://doi.org/10.1053/j.gastro.2024.09.021

Brunner P, Kiwitz L, Li L, KT. iScience 27:110134 (2024).  https://doi.org/10.1016/j.isci.2024.110134 


Kwon G, Wiedemann A, Steinheuer LM, ..., Dörner T*, KT*. NPJ Syst Biol Appl 2023. https://doi.org/10.1038/s41540-023-00319-z

Burt P and KT. Sci Adv 2023. https://doi.org/10.1126/sciadv.adg7668.

Burt P, Peine M, Peine C, ..., Löhning M*, KT*. Front Immunol 2022.  https://doi.org/10.3389/fimmu.2022.928018 


KT*, Wu LF*, Altschuler SJ*. Cell Systems 2018. https://doi.org/10.1016/j.cels.2018.01.016.

-> Publications

Previous research areas 

  • Metabolic regulation by the circadian clock
  • Mechano-chemical regulation of cell motility
  • Fold-change detection by stochastic intracellular Ca(2+) dynamics 


-> Publications