I obtained my PhD in String Theory from the Max Planck Institute for Gravitational Physics. I then switched to Machine Learning and became a member of the Machine Learning Group at TU Berlin.
Phys. Rev. E 101, 023304
Phys. Rev. Lett. 126, 032001
My research focus is mainly on generative models and their applications to physics. In particular, I am interested in using generative models to speed up sampling problems. I have also worked on interpretability and its connection to generative models. Recently, I have been also thinking about NTK theory and Bayesian optimization.