Hans-Günther Döbereiner

You are here

Hans-Günther Döbereiner's picture

Dr Hans-Günther Döbereiner

Member since: 08/02/2021 - 08:56
Professional title: 
Professor
Organization name: 
Universität Bremen
Organization type: 
Academia/Research
City: 
Bremen
Country: 
Germany

Short Bio

Last comments

Blogs

Hans-Günther Döbereiner graduated from the University of Erlangen-Nuremberg in the field of Theoretical Nuclear Physics in 1989. In 1995 he finished his Ph.D. in Biological Physics at Simon-Fraser University in Canada. After his habilitation in Physics at University of Potsdam in 1999 with his work at MPI of Colloids and Interfaces, he visited as a Heisenberg fellow the Curie Institute, Paris and the University of Copenhagen. Further, in 2003 he continued his work as Heisenberg fellow in the Department of Biological Sciences at Columbia University in New York, where he lectured Biological Physics as Adjunct Assistant Professor between 2005 and 2006 in the Physics department. In 2006 he became professor at the Faculty for Physics and Electrical Engineering at the University of Bremen. His research group at the Institute of Biophysics is dedicated to basic principles of cellular motion and biological physics of Physarum polycephalum. In recent years this slime mold has become a model system for (basal) cognition. Since 2016 Hans-Günther Döbereiner has been organizing a lecture series on Universal Properties of Decision-Making, which builds a bridge between the humanities and natural sciences. In 2020, he became spokesperson of the consortium National Research Data Infrastructure for Disciplinary and Transdisciplinary Physics. He contributes to the DSC Bremen with his vision to deduce universal characteristics of hierarchical data structures from physics of emergent systems. His aim is to establish contextual links between network dynamics and semantic content. His current projects embrace the propagation of phase boundaries in active matter, regulation of cellular motion, the role of synchronized network oscillations in learning processes, binary decision-making phase diagrams, as well as trade with public goods on dynamic networks.





Group membership