My research path began with broad questions in cosmology: how well current data distinguish dark-energy models, how Bayesian evidence can compare competing descriptions of cosmic acceleration, and how simulations reveal the role of baryonic feedback in galaxy groups and clusters. That foundation shaped the way I approach cosmological inference: as a dialogue between physical modeling, data quality, and statistical robustness.

During my PhD at SISSA and subsequent postdoctoral work in Rome and San Diego, this trajectory sharpened toward CMB polarization. I now focus on methods that turn subtle polarization patterns into tests of lensing, inflationary physics, and parity violation. The long-term goal is to make next-generation CMB data precise enough not only to measure standard cosmology better, but to expose where new physics might be hiding.