I am a postdoctoral researcher at the group for Atomic Scale Materials Modelling at DTU Energy in Denmark. My research is focussed on using deep learning algorithms, particularly generative algorithms, to predict reactions and processes in the physical sciences. In the BIG-MAP project, this is used in the context of inverse material design to speed up the discovery and development of new battery materials.
I recently finished my PhD at the Section for Cognitive Systems, at the Technical University of Denmark under the supervision of Lars Kai Hansen in October 2020. During my PhD studies I visited Bin Yu’s group at UC Berkeley for six months. Previously I obtained my dual master’s degree in Computer Science from TU Berlin and KAIST, writing my master’s thesis in Klaus-Robert Müllers group at TU Berlin. Before that I obtained my bachelor’s degree from TU Berlin in Computational Engineering Science.