Hello! I’m a postdoctoral researcher at Princeton Neuroscience Institute. I’m interested in how people learn and make decisions. Human life is organised into sequences of discrete goals: cooking dinner, climbing mountains, answering emails. The demand for us to flexibly switch between these different tasks leads to a number of computational trade-offs on different timescales – such as deciding when to abandon or persist with tasks in the moment, and how to structure learning without interference across tasks. In my research I have investigated these trade-offs using a combination of computational modelling, neural imaging, and working with clinical populations including patients with prefrontal brain damage.

I’ve been a C.V. Starr fellow with Yael Niv at Princeton since September 2025. Before this, I did my PhD at the University of Oxford with Chris Summerfield, Jill O’Reilly, and Nils Kolling. My previous research investigated the mechanisms that support persistence with goals and planning. In more recent work, I looked at the question of why new learning sometimes interferes with prior knowledge and sometimes doesn’t, in humans and artificial neural networks. In particular, I’m interested in the trade-offs between transferring knowledge to new settings, and avoiding forgetting.