PhD student in computational neuroscience
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.