Christian Fabian is researcher at Hessian.AI and a Ph.D. student at the Self-Organizing Systems Lab at TU Darmstadt supervised by Professor Heinz Koeppl.

His research aims to design scalable learning algorithms for multi-agent systems with a high number of interacting individuals. Therefore, he employs mean field games to develop learning algorithms with a solid mathematical foundation and convincing empirical results. He is especially interested in modeling complex and realistic agent networks with graph theoretical concepts such as graphons and graphexes. Potential applications of these learning algorithms include financial markets, social networks and the human brain.