Our area of research is Machine Learning and Computational Biology. We develop efficient algorithms for finding patterns and statistical dependencies in large biological datasets. We employ these methods primarily in the field of Statistical Genetics in order to explore the genetic basis of complex phenotypes.
Our group has broad interests in the interaction of optical, electric, and magnetic fields with matter at small length scales. We work on new 3-D fabrication methods, self-assembly, actuation, and propulsion. We have observed a number of fundamental effects and are developing new experimental techniques and instruments.
Our research is focused on the study of dynamic membrane processes from a quantitative point of view. We have a special interest in the mitochondrial membrane alterations during apoptosis and the mechanism of action of the Bcl-2 proteins.
We are interested in the statistical physics of systems out of equilibrium, which we aim to describe and understand with both analytical and numerical techniques. We focus on the quantum-fluctuations of electromagnetic fields, e.g. in connection to Casimir interactions and radiative heat transfer. We also study classical systems such as colloidal suspensions driven far from equilibrium.
In many modern optical appliances unwanted light reflections reduce the image quality notably. Nocturnal moths have solved this problem million of years ago. A nanometre-sized structure on the surface of their eyes results in almost perfect anti-reflective properties. In the nano.AR workgroup we are developing new cost efficient methods to coat commercially available surfaces with a similar, biomimetic nanostructure.
The nanometer scale is where the chemistry, biology, and materials sciences converge. The subtopic of nanoplasmonics deals with localization and manipulation of light in a nanometer volume. The key material component for plasmonics is metals. The optical properties of metal nanoparticles have been an object of fascination since ancient times.
We aim to understand the mechanisms of assembly and function of biomolecular hydrogels and cellular membranes. To directly assess the supramolecular level of interactions, we tailor make and study well-defined model systems.
The research group investigates the interaction of living cells with semiconductors. Thereby an electrolyte-oxide-semiconductor field-effect transistor measures the extracellular signals of the biological system and is used as interface between cells and chip. We promote a further development towards multisensory-systems in order to evolve new applications within the fields of life science, environmental technology and neuroscience.
The Stuttgart Center for Electron Microscopy (StEM) possesses extensive expertise in the field of transmission electron microscopy (TEM) and scanning electron microscopy (SEM). Besides conducting its own research, StEM also collaborates with departments in both Stuttgart Max Planck Institutes, as well as with other research institutions and industries.