Dr. Florian Berger
Cell Biology, Neurobiology and Biophysics
Department of Biology
Faculty of Science, Utrecht University
Kruytgebouw, room N509
Padualaan 8, 3584 CH Utrecht
Florian Berger studied physics at Stuttgart University, Germany, where he investigated stochastic nonequilibrium systems in the research group of Prof. Dr. Seifert. For his Ph.D. work, he joined the Theory and Biosystems Department led by Prof. Dr. Lipowsky at the Max Planck Institute in Potsdam, Germany. Here, he developed a theoretical framework to study the cooperativity of coupled molecular motors, for which he received a Ph.D. in theoretical Physics with highest honors. To investigate the physiological role of molecular motors as tension regulators on mechanosensitive ion channels in the inner ear, Dr. Berger conducted research in Prof. Dr. Hudspeth’s Laboratory of Sensory Neuroscience at the Rockefeller University, New York, USA. In this lab, he combined theoretical descriptions with experimentations to address different problems ranging from nonlinear systems theory in hearing to the cooperative gating of ion channels.
For his postdoctoral research, Dr. Berger received a Fedor Lynen Fellowship from the Alexander von Humboldt Foundation and a Pilot Grant from the Kavli Neural Systems Institute. Since October 2019, he is the principal investigator of the research group for theoretical biophysics at Utrecht University.
All forms of life display a remarkable variety of active processes on different length scales. We develop biophysical descriptions to understand how these active processes mediate the flow of energy and matter to self-organize cellular order and function. These descriptions span a wide range of length scales, from structure-function relations of molecular-motor heads, up to the cellular activity of hearing organs. We believe that a mutual stimulation of theoretical considerations and experimental findings is a beautiful way to decipher nature’s fundamental principles.
We apply concepts from stochastic physics and statistical mechanics to understand diverse biological systems, such as:
- Molecular motors and the organization of transport systems
- Self-organization: from molecular interactions to cellular order and function
- Force spectroscopy of single molecules
- Nonlinear active processes in hearing
- Nonequilibrium thermodynamics and entropy production in biological systems
In the following projects, we develop methods to process and analyze experimental data:
- Deep-Learning methods to improve subcellular particle imaging in cells
- Bayesian methods for force-spectroscopy data
Oane J. Gros
For a complete list of publications please visit the google scholar page.