My current research seeks to understand the role of feedback in human learning with particular focus on how this interacts with mental representations. To understand the workings of semi-supervised learning, I combine behavioural and computational approaches. In my current project I aim to better understand when feedback is needed in category learning and how this is tied to the internal representation of the items that need to be classified. More generally, I am interested in building computational models that can capture human learning under different feedback conditions in order to predict optimal training sets in naturalistic settings.

I am a third-year PhD student at the Gatsby Computational Neuroscience Unit in London. In 2019 I moved to the Max Planck Institute for Biological Cybernetics in Tübingen where I am supervised by Peter Dayan and Brad Love at UCL. Before starting my PhD I obtained degrees in cognitive science and machine learning.