I am a postdoc in machine learning at Helmholtz AI in Munich. My main research interests are representation learning (in particular causal representation learning, disentanglement, object-centric learning) and probabilistic generative models (especially diffusion models and VAEs). See my CV or Google Scholar for a list of publications.
Previously, I was a postdoc at KTH in Stockholm and, prior to that, 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.