I am a postdoc in machine learning at Helmholtz AI and the Technical University of Munich. My main research interests are probabilistic generative models (especially diffusion/flow models and VAEs) and representation learning (in particular causal representation learning, disentanglement, object-centric learning). See my CV or Google Scholar for a list of publications.
Previously, I was a postdoc at KTH in Stockholm and an ELLIS PhD student at DTU in Copenhagen, advised by Ole Winther and Thomas Bolander (you can find my PhD thesis here). During my PhD, I was a research intern at the Max Planck Institute for Intelligent Systems with Bernhard Schölkopf and Stefan Bauer, Microsoft Research with Tom Cashman and Ben Lundell, and Amazon with Francesco Locatello and Peter Gehler.