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Principal researcher at the Machine Learning Research Group, Data61, CSIRO.

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.

Contact

Address: Data61, CSIRO
CSIT Building 108, Australia National University, Canberra ACT 2601
    
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ORCID iD iconorcid.org/0000-0002-2302-9733