All Research Projects
Leveraging Multi-Generational Linkage Data to Enhance the Prediction of Early-onset Lung Cancer
CI lead: Professor Shyamali Dharmage, Allergy and Lung Function Unit, Melbourne School of Population and Global Health
Biomarkers for prostate cancer risk stratification and outcomes
CI lead: Professor Melissa Southey, Precision Medicine, School of Clinical Sciences, Monash Health Team members: A/Professor Pierre-Antoine Dugué, A/Professor Robert J. MacInnis, Dr Robert O’Reilly, Jared Burke, Dr Fiona Chen
Exploring causal pathways between asthma and COPD and their shared risk factors
CI lead: Professor Shyamali Dharmage, Allergy and Lung Function Unit, Melbourne School of Population and Global Health Team members: Dr Jingwen Zhang, Dr Zhoufeng Ye, A/Professor Shuai Li
Software for the analysis of family data
CI lead: Associate Professor Shuai Li, Centre of Epidemiology and Biostatistics, Melbourne School of Population and Global Health Team members: Dr James Dowty, CEB, MSPGH
Uncovering genetic components of prostate cancer risk independent of PSA levels
From aetiology to improved risk prediction for clinically significant disease Postdoc Recipient: Dr Hamzeh M Tanha, The Daffodil Centre, The University of Sydney, and Cancer Council NSW, Sydney, Australia
Epigenetic signatures of menopause: an integrative analysis
Postdoc Recipient: Dr. Zhoufeng Ye, Centre for Epidemiology and Biostatistics (CEB), University of Melbourne
Enhancing individual-level consistency of breast cancer Polygenic Risk Score (PRS) through machine learning approaches
PhD Recipient: Di Mu, Melbourne School of Population and Global Health, University of Melbourne
Using machine learning to improve polygenic risk scores (PRSs) prediction of colorectal cancer
PhD Recipient: Max Schuran, Melbourne School of Population and Global Health, University of Melbourne