• Connectionist modeling
  • Building an oscillator model for listener entrainment and generation of backchannel utterances
  • Associative networks in general
• Using evolutionary algorithms to build large neural networks that can control robots and agents in simulated environments
  • Further development of the NEATfields method
  • Evolution of oscillator networks
• Understanding the dynamics of coevolutionary processes

• since 09/2011: Postdoctoral Researcher at the AI Group, Bielefeld University, and the Special Research Unit Alignment in Communication, Subunit Rhythm and Timing In Dialogue
• 04/2008-03/2011: Postdoctoral Researcher at the Neuroinformatics Group, Bielefeld University and the Research Institute for Cognition and Robotics
• 03/2003-11/2007: PhD student at Max Planck Institute for Mathematics in the Sciences and Leipzig University
• Completed Studies: Computer Science (FernUniversität Hagen, German Diplom) and Life Sciences (Open University, Bachelor (Honors))

WS 2009/10

• Künstliches Leben und Evolutionäre Robotik

SS 2012

• Evolutionäre Algorithmen