I graduated cum laude from the University of Padua in Information Engineering and then joined ETH for my master in Computer Science. During this time I became passionate about Machine Learning and I am now part of the Max Planck-ETH Center for Learning Systems, supervised by Gunnar Rätsch and Bernhard Schölkopf. I am very passionate about optimization for machine learning, causality, and unsupervised learning. Recently I've been working on improving approximate Bayesian inference and representation learning. I'm currently working part-time in Google AI as a research consultant in collaboration with ETH (MSRA). My research lays at the intersection of convex optimization, Bayesian inference, and representation learning.