Biography
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 website 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.
Academic Qualifications
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2013
PhD (Computer Vision/Machine Learning)
The University of Sydney -
2008
Bachelor of Engineering (Mechatronic, Honours class 1)
The University of Sydney -
2004
Bachelor of Commerce (Finance)
The University of Sydney
Achievements and Awards
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2014-2014
Spotlight Paper Award (Extended and Unscented Gaussian Processes)
NeurIPS
Professional Experiences
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2019-2023
Principal Researcher
Gradient Institute -
2016-2019
Senior Research Engineer
CSIRO (Data61) -
2013-2016
Researcher
NICTA -
2012-2013
Research Associate
The University of Sydney (ACFR) -
2006-2010
Control Systems Engineer
BioPower Systems
ORCID 0000-0003-1887-5115