Ryan is interested in building theory for safe AI design. Recently, this has focused on analyzing agents’ incentives using causal frameworks. Previously, he has also analyzed alternatives to utility maximization, such as value learning and quantilization. Before that, he worked as a medical doctor, and has degrees in medicine and bioinformatics from Monash University and Imperial College London.