I am currently a senior research scientist and team leader at CSIRO (Data61) where I create and apply machine learning models to help scientific research and experimentation.
The majority of my research has been on probabilistic machine learning algorithms. This includes creating variational inference methods for Bayesian machine learning, and more recently using machine learning for causal inference. I have also been involved in the creation and maintenance of a number of machine learning code-bases, see my project page for more details.
Previously I’ve researched probabilistic algorithms for the automatic, unsupervised interpretation of data (without human training), such as underwater imagery of the seafloor obtained by autonomous underwater vehicles (AUVs).
I finished my PhD in July 2013 with the marine systems group at the Australian Centre for Field Robotics, which is in the University of Sydney. I have a Bachelor of Engineering (Mechatronics, honours 1) and Bachelor of Commerce (Finance), also from the University of Sydney.
