I completed my PhD in Machine Learning in 2024. My research centers on the intersection of Normalizing Flows, Monte Carlo methods, and Bayesian statistics. I worked mainly on Path Gradients for flows and symmetry-preserving generative models for simulating Lattice Gauge Theories.