Rixon Crane

I am currently a PhD student in the School of Mathematics and Physics at the University of Queensland. My research focuses on developing, optimising and distributing machine learning algorithms. Through careful development and distribution, a machine learning algorithm may access hardware resources of multiple computers. Using extra hardware resources may be essential when analysing large data sets, as increased data leads to increased computation. I am also interested in how machine learning algorithms can be used to make predictions of global trends. One global issue I am particularly passionate about is that of preventing and repairing the damage caused to the environment through human activity, such as the damage caused through plastic in the oceans.

Rixon's principal advisor is Dr Farbod Roosta-Khorasani.