Andrew is originally from Dunedin, New Zealand where he undertook his undergraduate degree in Neuroscience. Following that he did his honours year here in Sydney supervised by A/Prof Greg Sutherland in the Neuropathology group investigating the effects of smoking on neurodegeneration before beginning his PhD. He is enrolled part-time and is hoping to finish up at the end of 2021.
Forefront Group: FOREFRONT BIOINFORMATICS & STATISTICS RESEARCH GROUP
Supervisors:
Dr Boris Guennewig, Associate Professor Greg Sutherland
Expertise:
Neurodegeneration of interest:
AD, FTD, Dementia
Affiliate Organisations
The University of Sydney
Specific Skills:
Project - Machine learning in Alzheimer’s disease
Project tag with a disease
AD, Dementia
Research Project Abstract
We are applying bioinformatic methods such as machine learning to better understand Alzheimer’s disease using public multi-omics data. Alzheimer’s disease has been extensively studied yet we still do not understand the mechanisms and there are no effective treatments. Through applying machine learning methods, we are trying to identify new factors that could be important to the development of Alzheimer’s pathology as well as cognitive impairment. Our machine learning has so far identified lactoferrin as a key gene in Alzheimer’s disease that is predictive of amyloid burden (under review) as well as genes predictive of cognitive decline