RCC’s Dr Nick Hamilton has shifted from his eResearch Analyst role to work as a Senior Machine Learning Consultant for the Queensland node of a new ARDC-funded project. He will continue to be based at The University of Queensland.
The aim of Dr Nick’s new role is to help develop the machine learning (ML) community at UQ, and more broadly provide ML training for QCIF member researchers (UQ is a QCIF member).
“With many years of experience in research in applications of computational methods and machine learning, I am looking forward to engaging with the UQ research community and supporting them to develop exciting new applications of machine learning,” said Nick.
“Machine learning is becoming critical in many fields of research such as biology, mathematics, physics, business, law, engineering and across the humanities and social sciences. However, there is an extraordinarily diverse range of expertise amongst researchers from complete beginner to advanced AI methods developers.”
Nick began introducing machine learning (ML) training to UQ researchers in June last year and supporting the University’s ML community, however, the role has been recently formalised.
The June 2020 timing coincided with the start of an ARDC-funded ML project led by Monash University with UQ, QCIF, NCI, Pawsey Supercomputing Centre and the Queensland Government as co-investment partners.
The project aims to create a national platform to consolidate ML tools, libraries, data access and Graphic Processing Unit (GPU) deployments for ML-based research.
Nick’s new ML role will be a dual one between RCC and QCIF. He will also continue to coordinate UQ’s weekly Hacky Hour and work as an Institute Biomathematician at UQ's Institute for Molecular Bioscience (IMB) where he heads a lab in machine learning, bioimaging and data visualisation.
If you have any queries about machine learning at UQ, please contact Dr Nick: n.hamilton@uq.edu.au.
Please check RCC’s Events webpage for upcoming ML training events. There are four ML training courses happening in March 2021 with limited places for UQ research staff and research students.