I use cross-correlations of different probes to characterize the small-scale hydrodynamics of clusters and constrain cosmological parameters. I have been looking at galaxy number density, the thermal Sunyaev-Zel'dovich effect, and CMB lensing.
Right now, cosmology is at a crossroads: there are only a few things left to do with the CMB. I am interested in exploring the boundary of our knowledge of physics and possibly try to resolve tensions in cosmology through novel statistical methods, and combining observations with models. These pipelines are aimed to be used in future cosmology experiments, such as the Legacy Survey of Space and Time (LSST) and the Simons Observatory (SO).
I am also involved with LOFAR, doing cosmology with radio data.
Some of the problems we try to solve are so complex that trying to model them could be infeasible. Right now, I am trying to learn how we can apply machine learning techniques to look at these problems from a different perspective.