Christopher Künneth

Chris is an Assistant Professor at the University of Bayreuth (UBT), where his research group is dedicated to making machine learning more accessible for materials science and engineering. His work involves developing advanced machine learning methods to discover and design novel materials, particularly those that are sustainable or polymeric.

After earning his PhD with summa cum laude from the Technical University of Munich in 2018, Chris was awarded a prestigious Feodor Lynen Postdoctoral Fellowship from the Alexander von Humboldt Foundation. As a postdoctoral fellow at the Georgia Institute of Technology, he worked on predictive machine learning pipelines for polymer design. In 2025, he received the prestigious ERC Starting Grant for his project: generative polymer informatics (genPI).