Dr Zack Shan heads the Neuroimaging platform at the USC Thompson Institute and leads research into myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS).
Zack is a biomedical engineer specialised in brain imaging and analysis of brain imaging data. His research has been focused on integrative translational neuroimaging, which included
- generating and testing hypotheses and identifying brain changes underlying neurological and mental disorders; and
- developing predictive brain models for disease diagnosis and prognosis leveraged machine learning techniques and increased brain image data accumulation at the Thompson Institute.
The ME/CFS project aims to understand the underlying illness process of ME/CFS and develop brain imaging criteria that will aid ME/CFS diagnoses. The study is the first to investigate brain function in ME/CFS in energy supplies and chemical messengers.
Research Grants (administered by USC)
- NHMRC Ideas Grant, GNT1184219 $1,269,546, 2020 - 24, Z Shan, R Kwiatek R, P Del Fante P, VD Calhoun, S Bhuta
- Mason Foundation, MAS2018F00024 $294,600, 2019 - 22, Z Shan, L Barnden, D Staines, S Marshall-Gradisnik, Kwiatek R, S Bhuta
- Mason Foundation, MAS2018F00019 $89,709, 2019-20, Z Shan, L Barnden, S Marshall-Gradisnik, D Staines, S Bhuta, J Baraniuk.
Higher Degree Research (HDR) opportunities
Opportunities are available for Honours and PhD research projects. Research will employ cutting-edge neuroimaging methods combined with quantitative, data-driven modelling and analyses for:
- Machine learning applications in neuroimaging
- Neurological underpins of unrefreshing sleep in ME/CFS
- Neuroimaging of central autonomic control
- Individual mental risk/disease severity prediction using multimodal MRIs
- Imaging interactions between the immune and central nervous system.
- Translational neuroimaging
- Magnetic resonance imaging
- Medical image computing
- Machine learning
- Chronic fatigue syndrom
Dr Zack Shan is the Senior Research Fellow in Neuroimaging, and his specialist areas of knowledge including neuroimaging, magnetic resonance imaging (MRI), medical image computing, artificial intelligence, multivariate analysis, machine learning and deep learning, and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS).
In the news
USC research to diagnose ‘invisible’ illness faster9 Dec 2019
A USC researcher has been awarded a prestigious National Health and Medical Research Council grant worth more than $1.2million to help find the underlying neurobiological factors that cause chronic fatigue syndrome and help diagnose it faster.