Elija Perrier

Elija is a research fellow working with Gradient Institute, the ANU, the University of Sydney and IAG on the ARC-funded Linkage project “Socially responsible insurance in the age of artificial intelligence”.

Elija is a doctoral candidate at the Centre for Quantum Software and Information at the University of Technology Sydney. Elija's doctoral research focuses on the field of quantum machine learning, including quantum algorithm design, geometric and statistical learning theory and quantum control. He has a multi-disciplinary background, holding an LLB / BA (Hons) (English/Cultural & Communication Studies) from Murdoch University along with a BSc (Physics/Mathematics) (Hons) & BA (Economics/Philosophy) from the University of Sydney. He is a practising lawyer, and has worked as a research assistant in the School of Economics at the University of Sydney, a tutor in constitutional law and jurisprudence at Macquarie University and as a data scientist focusing on political science. Elija has published research on computer science, public policy and a range of other topics and has presented research at a number of conferences nationally and internationally.