Niklas Käming

Niklas is a Postdoc in the group of Klaus Sengstock. His research focus is the detection of new phases of matter from experimental data and modeling of quantum many-body states with machine learning techniques to develop new experimental protocols for cold quantum gas experiments. Since 2020 he teaches the application and development of distributed algorithms on HPC systems. He acquired his Bachelor’s, Master’s and PhD degree with a focus on quantum many-body physics and distributed algorithms at the University of Hamburg.