My research interests are in probability theory, stochastic processes, and their applications. I also actively engage and collaborate with Australian industry and government on real-world problems.

I recently teach the research-led course 'Big Data Statistics' (STAT3017) at ANU that looks at the application of random matrix theory in high-dimensional statistics and machine learning. Particular focus is on understanding how classic approaches break down when the dimensionality of the data becomes large and how these problems may be resolved using recent mathematical results.

I love programming, building my own research tools, and routinely release them on GitHub for others to use (see my profile 'daleroberts'). Many of my public projects are highly starred by the international community.