I am a first-year Ph.D. student at the Empirical Inference Department at the Max Planck Institute for Intelligent Systems supervised by Bernhard Schölkopf and Stefan Bauer. I am mainly interested in developing improved methods at the intersection of causal inference, disentangled representation learning and deep reinforcement learning.
I studied physics at the Ludwig Maximilian University of Munich and obtained my Master’s degree in 2019. Throughout my studies I have been mostly interested in statistical physics, nonlinear dynamics and plasma physics, working with Hartmut Zohm (Max Planck Institute of Plasma Physics) on the stability and scalability of novel steady-state high-temperature plasma states and Erwin Frey (LMU) on stochasticity in biochemical reaction networks. Additionally, I obtained an M.Phil in Scientific Computing from the University of Cambridge in 2018.
Unser Ziel ist es, die Prinzipien von Wahrnehmen, Lernen und Handeln in autonomen Systemen zu verstehen, die mit komplexen Umgebungen interagieren. Das Verständnis wollen wir nutzen, um künstliche intelligente Systeme zu entwickeln.