Giovanni Cherubin is a Senior Researcher at Microsoft Research (Cambridge) working with the Microsoft Response Centre (MSRC). Before joining Microsoft, he held research positions at the Alan Turing Institute and EPFL, and he obtained a PhD in Machine Learning and Cyber Security from Royal Holloway University of London. His research focuses on privacy and security properties of machine learning models, and on the theoretical/empirical study of their information leakage. He also works on reliable machine learning tools, such as distribution-free uncertainty estimation for machine learning (e.g., Conformal Prediction). Some of his work on security and machine learning has been recognised with best student paper awards (SLDS15, PETS17), distinguished paper (USENIX22), and with a USENIX Internet Defense Prize (2022).