picture of Cheng

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 optimization methods for solving problems such as feature selection and structured output prediction, with the aim of solving scientific questions in collaboration with experts in other fields. This has included diverse problems in genomics, systems biology, and medical imaging. I am also interested in open source software and reproducible research in the context of machine learning. We are advocating this via a JMLR special track, as well as the community sites mloss.org and mldata.org.

Please contact me if you are interested in doing a PhD in machine learning. In your email, include what interests you and attach examples of your written work as well as any (preferably open source) software. There are scholarships available at the University of Melbourne (review criteria) and Australian National University, and also NICTA top ups.

Contact

Address: NICTA, Canberra Research Laboratory,
Tower A, 7 London Circuit, Canberra ACT 2601