Nervous systems are of utter inordinate complexity. It is astonishing to see the rich behaviour of animals, how reliably and efficiently they maneuver through their environments, implemented in their neural architectures and dynamics. The idea that such complexity can itself arise out of the simple rules of evolution is fabulous, extraordinary and easily overlooked. Alas, eons of bricolage appear as design today. The evolution of nervous systems is a multidisciplinary field, encompassing, i.a., comparative physiology, behavioural ecology and genetics. Mathematical and computational methods are relatively recent additions. One aspect that theoretical models can contribute, is to establish a quantitative link between genotype, molecular phenotype and computational phenotype. The latter is the rigging, the evolutionary molding of brain-like structures is supposed hoist its adaptation on.

Positions held

Since 2018   
Permanent Senior Researcher, Computational Neurophysiology Group (Prof. Dr. Schreiber), Institute for Theoretical Biology, Humboldt University, Berlin

2014-2017   
PostDoc Computational Neurophysiology Group, Humboldt University, Berlin

2013   
PostDoc StartUp Stipend, Bernstein Center, Berlin

2004-2007   
Research Student, Neural Networks Research Centre, Helsinki University of Technology

Education

2013  
PhD in theoretical Biophysics, Humboldt University, Berlin

2008-2013  
Graduate College Sensory Computations, Bernstein Center, Berlin

2003-2007  
Diplom Computer and Information Science, Helsinki University of Technology

2000-2002  
Prediploma Bioinformatics, University of Tübingen