Principal researcher at the Machine Learning Research Group, NICTA.
I am interested in enabling scientific discovery by extending statistical machine learning methods. In recent years, we have developed new optimisation methods for solving problems such as ranking, feature selection and experimental design, with the aim of solving scientific questions in collaboration with experts in other fields. This has included diverse problems in genomics, systems biology, and astronomy. The long term goal is to use active learning, bandits, and choice theory for design of experiments. I support and advocate open source software and reproducible research in the context of machine learning, for example via a JMLR special track, as well as the community sites mloss.org and mldata.org.
|Address:||NICTA, Canberra Research Laboratory,|
|Tower A, 7 London Circuit, Canberra ACT 2601|