I build novel statistical and machine learning methods to combine signals from different large-scale structure probes in order to characterise the small-scale hydrodynamics of clusters and constrain cosmological parameters. I am particularly interested in how we can extract clean information about the cosmic evolution using secondary CMB anisotropies and explore the boundary of our knowledge of Physics, possibly trying to resolve tensions in Cosmology.
I am heavily involved with the Core Cosmology Library (CCL), co-leading the transition to the new, updated v3 API. The analysis pipelines I build are aimed to be used in future cosmology experiments, such as the Legacy Survey of Space and Time (LSST) and the Simons Observatory (SO).