About Me

I am a PhD student at the Australian National University, under the supervision of Richard Nock, Ke Sun, and Lexing Xie. I am also a student trainee in Masashi Sugiyama’s Imperfect Information Learning Team at RIKEN AIP.

My research focus is on utilising boosting algorithms, information geometric tools, and the theory of loss functions with a focus on fairness and privacy in machine learning. In this research, I have co-created the pyBregMan open-source Python package with Frank Nielsen. Recently, I have been exploring topics involving generalization bounds and theory involving classification with rejection and importance weighting. Previously I have worked on topics including formal methods / theorem provers, visualisation in academic influence, knowledge graphs, universal approximation theorems, and point process models.