My research in machine learning ranges from the theory of statistical and sequential prediction (a.k.a. "online learning") and market mechanisms for learning, to developing protocols for presenting learning algorithms as web services. My aim is to build foundations for wide-spread, machine-assisted prediction.
Research Fellow in the Artificial Intelligence Group at the Research School of Computer Science; Contributed to the Machine Learning Group at NICTA.
After completing honours in pure mathematics at UNSW I went on to do a PhD in machine learning, also at UNSW. During my PhD I interned at IBM Research in New York and worked as a programmer at Proxima Technology and as a machine learning research engineer at Canon Research, both in Sydney.