About us

In our research group we aim to contribute to the theoretical understanding of how biological systems are able to increase and maintain its complexity along time and space. Examples of questions guiding our research are: What principles make the emergence of biological complexity possible to happen? What mechanisms underlie its striking reproducibility and robustness? What dynamical features lie behind homeostasis? Most of our work is developed in close contact to experimental labs. To address the research challenges, we take inspiration from statistical physics and dynamical systems theory. Our approach, however, is open and guided only by the research questions.

The group is part of the Institute of Biology of the University of Graz and member of the network of the field of excellence Complexity of life in basic research and innovation.



Fast growth can counteract antibiotic susceptibility in shaping microbial community resilience to antibiotics Daniel R. Amor, Jeff Gore. Proceedings of the National Academy of Sciences USA, 119 (25) e2116954119 (2022)

The typical set and entropy in stochastic systems with arbitrary phase space growth Rudolf Hanel, Bernat Corominas-Murtra. ArXiv preprint: arXiv:2109.01475 [cond-mat.stat-mech] (2022)

Viscoelastic networks: Forming cells and tissues Bernat Corominas-Murtra, Nicoletta I Petridou. Frontiers in Physics 9, 314 (2021)

Rigidity percolation uncovers a structural basis for embryonic tissue phase transitions Nicoletta I. Petridou, Bernat Corominas-Murtra, Carl-Philipp Heisenberg, Edouard Hannezo. Cell 184 (7), 1914-1928. e19 (2021)

A morphospace of functional configuration to assess configural breadth based on brain functional networks Duy Duong-Tran, Kausar Abbas, Enrico Amico, Bernat Corominas-Murtra, Mario Dzemidzic, David Kareken, Mario Ventresca, Joaquín Goñi. Network Neuroscience 5 (3), 666-688 (2021)

Contact details

  • Institute of Biology, University of Graz
  • Holteigasse 6, 8010
  • Graz, Austria
  • Email: bernat.corominas-murtra@uni-graz.at