Currently I am a principal researcher at Gradient Institute where I research and implement ethically aware machine learning algorithms and systems.
I have experience researching and creating computationally efficient algorithms with well calibrated predictive uncertainty. This is especially important when using such algorithms for decision making, so they properly predict the risks involved in making a decision.
Previously I researched algorithms for the automatic, unsupervised interpretation of data (without human training), such as underwater imagery of the seafloor obtained by autonomous underwater vehicles (AUVs). See my research page for more details.
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 also spent six months as a research associate with this group. I have a Bachelor of Engineering (Mechatronics, honours 1) and Bachelor of Commerce (Finance), also from the University of Sydney.