I completed my PhD on machine learning at the Australian National University with NICTA, advised by Richard Nock and Tiberio Caetano. My thesis was about weak supervision, i.e. any learning problem in the continuum between supervised and unsupervised learning. In particular, I studied scenarios where supervision is given by high-level aggregated statistics or corrupted by noise; I also touched on learning theory, privacy, distributed data and deep learning.
Prior to moving to Australia, I received my BSc and MSc from Politecnico di Milano with a research thesis on Nash equilibrium computation working with Nicola Gatti.