Bioinformatics and Statistics

Our Bioinformatics and statistics group based at the Brain and Mind Centre (BMC) comprises mathematicians/statisticians, IT engineers/computer scientists, and biologists/bioinformaticians at the Brain and Mind Centre, University of Sydney, specialized for development of bioinformatics & AI methodology to manage, analyze and mine large, complex datasets. The team’s contribution is the development of new methodology and the proof of concept on previously developed bioinformatics framework to process thousands of high-dimensional data sets in a time effective and coherent way.

  • Precision Medicine – Novel artificial intelligence approaches for the analysis of multimodal biomedical data to identify clinically relevant biomarkers in neurogenerative diseases – Boris Guennewig
  • Multi Modal Machine Learning Applied to Parkinson’s and Alzheimers combining genetic, imaging, lifestyle and clinical data to determine new biomarkers and risk groups – Michael Allwright – PhD
  • Transcriptomics in Neurodegenerative Disease – Kosar Hooshmand – PhD
  • Machine learning in Alzheimer’s disease - Andrew Neil Mccorkindale - PhD

Meet our Research Group

Dr Boris Guennewig

Senior Lecturer, USyd

  • Bioinformatics
  • Machine Learning
  • Biomarkers

Andrew Neil Mccorkindale

PhD Student

Machine learning in Alzheimer's Disease

Supervisors: Dr Boris Guennewig, A/Prof. Greg Sutherland

Years: 2020-2023

Kosar Hooshmand

PhD Student

Transcriptomics in Neurodegenerative Disease

Supervisors: Dr Boris Guennewig, Prof. Glenda Halliday, A/Prof Greg Sutherland

Years: 2020-23

Michael Allwright

PhD Student

Multi Modal Machine Learning Applied to Parkinson’s and Alzheimers combining genetic, imaging, lifestyle and clinical data to determine new biomarkers and risk groups.

Supervisors: Dr Boris Guennewig, Prof. Simon Lewis

Years: 2020-2023