Professor Alex Fornito
Head of the Brain Mapping and Modelling Research Program
Turner Institute for Brain and Mental Health, Monash University
VICTORIA, AUSTRALIA
Bench Side Story continues with a Professor and Head of the Brain Mapping and Modelling Research Program at the Turner Institute for Brain and Mental Health, at Monash University in Melbourne, Victoria, AUSTRALIA.
Professor Alex Fornito completed his Clinical Masters (Neuropsychology) and PhD in 2007 in the Departments of Psychiatry and Psychology at The University of Melbourne before undertaking Post-Doctoral training in the Department of Psychiatry at the University of Cambridge, UK, under the auspices of an NHMRC Training Fellowship. He is currently a Sylvia and Charles Viertel Foundation Senior Research Fellow, co-Director of the Brain, Mind and Society Research Hub and Head of the Brain Mapping and Modelling Research Program at the Turner Institute for Brain and Mental Health.
Professor Fornito’s research concentrates on developing new imaging techniques for mapping human brain connectivity and applying these methods to shed light on brain function in health and disease. A major emphasis of his work concerns understanding foundational principles of brain organization and their genetic basis; characterizing brain connectivity disturbances in psychiatric disorders such as schizophrenia; and mapping how brain networks dynamically reconfigure in response to changing task demands.
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Metabolic phenotyping, lipidomics & bioinformatics in dementia
Dr Luke Whiley is a dementia researcher whose work focuses on understanding how the body’s metabolism, particularly the biology of fats known as lipids, influences our health throughout ageing.
His research explores how the body responds to illness, lifestyle, and environmental stress at a chemical level, and how these responses shape longterm disease risk. Using advanced blood-based measurement technologies, Dr Whiley studies thousands of small molecules at once to build a snapshot of a person’s metabolic health. By combining these measurements with data science approaches, his work identifies biological pathways that become disrupted in disease, providing insight into why some people are more vulnerable to conditions such as dementia.
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Applying artificial intelligence to medical imaging for cardiovascular disease detection
Parmida is a software engineer and biomedical scientist whose research focuses on translating novel medical imaging technologies into clinical practice to improve the diagnosis and management of cardiovascular disease.
Her current work applies advanced deep learning techniques to retinal polarization-sensitive optical coherence tomography (PS-OCT) imaging, aiming to generate clinically meaningful biomarkers and predictions of cardiovascular disease. Parmida’s collaboration partners include Fiona Stanley Hospital in Murdoch, Western Australia.
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Oral administration of insulin for Type 1 Diabetes
Huiwen Pang is a 3rd year PhD candidate in the Australian Institute for Bioengineering and Nanotechnology, University of Queensland, focusing on biomedical health research. Prior to commencing his PhD, Huiwen studied animal genetics in his Masters degree at Huazhong Agriculture University in China.
People with diabetes, especially Type 1 diabetes, largely rely on the insulin injections or insulin pumps to control their high blood glucose levels, which is painful and has a high risk of infections.
Huiwen Pang is conducting research on nano-based drug formulations for Type 1 diabetes treatment, with a focus on using nanomaterials to load insulin for oral administration and employing anti-apoptotic and anti-inflammatory approaches to mitigate damage to beta cells.
