I am a Principal Investigator and University Assistant at the University of Vienna (Habilitation in Theoretical and Computational Physics) working in the Computational and Soft Matter Physics group at the Faculty of Physics. I am a faculty member of the Vienna Doctoral School of Physics (VDSP).
In our research we study various out-of-equilibrium biophysical transport processes at the micron and sub-micron scale combining computational modeling, theoretical analysis and optimization with a focus on multi-scale modeling incorporating hydrodynamic interactions in active systems.
We are particularly interested in how small microorganisms such as bacteria and eukaryotic cells are able to move in different complex environments, such as in confinement and in complex and filamentous fluids.
We further apply reinforcement learning as a particular machine learning technique e.g. to understand how local sub-cellular decision-making determines the collective behavior of an entire cell or organism, for example by decentralized learning to understand decison-making in physical environments at multiple scales.
Address:
Computational and Soft Matter Physics, Faculty of Physics
University of Vienna
Kolingasse 14-16
Room 3.34
1090 Wien
Austria
E-mail: andreas.zoettl@univie.ac.at
ORCID: orcid.org/0000-0002-1736-9619
google scholar: scholar.google.at/citations?user=CYRGC9AAAAAJ