I am a PhD student in neuroscience and machine learning at University College London, supervised by Caswell Barry and Tim Behrens. I’m interested in how brains and machines learn abstract models of the world: what the internal representations that support flexible behaviour look like, and why they take the form they do. I use reinforcement learning and successor-representation models to work out which architectures, objectives and policies give rise to grid-like codes.

Before my PhD, I was a research engineer in Nikolas Karalis’s Neuronal Circuits & Brain Dynamics group at the Paris Brain Institute. Earlier, I was a visiting researcher at the University of Oxford’s Centre for Eudaimonia and Human Flourishing, and a research assistant with Jan Ramaekers at Maastricht University and in Eve Marder’s lab at Brandeis University.