I am a PhD student in the Cosmology Research Group at ETH Zurich working at the intersection of physical cosmology and machine learning. Specifically, I am interested in simulation-based inference and how the expressive power of deep learning can be leveraged in that context to extract more information from cosmological observations than traditional analysis methods permit. This overarching theme connects projects involving various data modalities, including images on the celestial sphere and point clouds, as well as different cosmological probes such as weak gravitational lensing and galaxy clustering.