Mark Rowland graduated from Cambridge University with a BA and MMath in 2013, having specialised in probability and group theory. Before starting his PhD he worked as an actuarial consultant, and has recently interned with the machine learning group at a systematic trading firm. He is funded by an EPSRC studentship at the Cambridge Centre for Analysis DTC, based at the Centre for Mathematical Sciences. His main research interests include inference problems in graphical models, Monte Carlo methods, and optimal transport metrics. He is currently interning at DeepMind.