I am a PhD student on Machine Learning at the Australian National University with CSIRO Data61 (formerly known as NICTA), advised by Richard Nock and Tiberio Caetano. My research is about weak supervision, i.e. any learning problem in the continuum between supervised and unsupervised learning. In particular, I study scenarios where supervision is given by high-level aggregated statistics or corrupted by noise; I also work on topics of learning theory, privacy, distributed data and deep learning.
Prior to moving to Australia, I received my B.Sc. and M.Sc. from Politecnico di Milano with a research thesis on Nash Equilibrium computation working with Nicola Gatti.