I am a team leader at CSIRO, based in Canberra, Australia. My research interests are in probabilistic machine learning, particularly how we can learn from limited data, reason under uncertainty, and guide scientific discovery.

Recent work includes generative Bayesian optimisation for active generation, causal discovery (CaPE and Arrow), and prior fitted networks and tabular foundation models. My work has spanned applications in protein engineering, education, geoscience, and marine robotics.

For more information, see my research and publications pages.

I completed my PhD in 2013 with the marine systems group at the Australian Centre for Field Robotics, University of Sydney. I also hold a Bachelor of Engineering (Mechatronics, honours 1) and a Bachelor of Commerce (Finance) from the University of Sydney.