I am a Ph.D. student at the Empirical Inference Department at the Max Planck Institute for Intelligent Systems, advised by Bernhard Schölkopf. I am mainly interested in developing improved methods at the intersection of causal inference, 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.