My research focuses on understanding the fundamental properties of neutrinos.
I am involved in the search for neutrinoless double beta decay, a hypothetical nuclear process that, if observed, would prove that neutrinos are their own antiparticles (Majorana particles) and provide crucial information about the absolute neutrino mass scale.
My work includes the development and optimization of particle detection systems, with a particular focus on cryogenic detectors.
I apply cutting-edge machine learning techniques to data analysis and deploying machine learning on edge computing for physics experiments.