Technical University of Munich (Germany)
The research interests of Christian Kuehn lie at the interface of differential equations, dynamical systems and mathematical modelling. A key goal is to analyze multiscale problems and the effect of noise/uncertainty in various classes of ordinary, partial, and stochastic differential equations as well as in adaptive and higher-order networks. The phenomena of central interest are: patterns, bifurcations and scaling laws. On a technical level, Kuehn's work aims to build bridges between different areas of the study of dynamical systems.
After studying at Jacobs University Bremen (BSc 2005) and at the University of Cambridge (M.A.St. 2006), Kuehn received his PhD in Cornell University in 2010. Subsequently he worked at the Max Planck Institute for the Physics of Complex Systems in Dresden as a postdoctoral researcher in the field of network dynamics. From 2011 to
2016 he was postdoctoral fellow at Vienna University of Technology in the Institute for Analysis and Scientific Computing, APART fellow of the Austrian Academy of Sciences, and a Leibniz fellow at MFO in 2013. He is Lichtenberg Professor at TUM (2016 Assistant Professor, 2021 Associate Professor, 2022 Full Professor).