Chirstoph Kirst is a theoretical neuroscientist involved in flexible computation and the coordination of information processing in neuronal circuits of brains and machines. Christoph’s work combines mathematical theory, dynamical systems modeling as well as algorithm development and machine learning with the analysis of large-scale data sets.
Christoph is currently an Assistant Professor at the University of California San Francisco (UCSF) as well as a Faculty Scientist at the Lawrence Berkeley National Laboratory (LBL). After studying mathematics and physics at the University of Göttingen (Germany), Oxford University (UK), and the Humboldt University Berlin (Germany) Christoph obtained a Master’s degree in Mathematics from Cambridge University (UK) and a Diploma in Physics from the University of Göttingen (Germany).
For his PhD in theoretical physics at the Max-Planck Institute for Dynamics and Self-Organization (Germany) Christoph studied the collective dynamics and computation in complex networks. Subsequent to studying single neuron dynamics at the Ludwig Maximilian University Munich (Germany) he became an independent research Fellow for Physics and Biology at the Rockefeller University (New York City). Christoph also became an independent Kavli Physics Fellow and member of the Steering Committee at the Kavli Neural Systems Institute (New York City) where he developed tools for the analysis of large-scale data sets to better understand brain structure and its modulatory functions, and where he also developed fundamental theory for mechanisms to coordinate large scale distributed processing in neuronal networks.