About
Dr Xavier Hadoux
Head of Ophthalmic Neuroscience
Dr Xavier Hadoux is investigating how the interaction between light and retinal tissue can serve as clinical biomarkers, using novel technology such as hyperspectral imaging.
Dr Xavier Hadoux
Head of Ophthalmic Neuroscience
BSc MSc Meng PhD
Dr Xavier Hadoux is Head of the Ophthalmic Neuroscience Unit at the Centre for Eye Research Australia (CERA) and the co-founder and Chief Executive Officer (CEO) of Enlighten Imaging Pty Ltd.
Dr Hadoux completed his PhD in data science at Montpellier University, France, in 2014. He also holds a Master of Science and a Master of Engineering from the Grande École in Nancy, France. Since moving to Australia in 2015, he has applied his background in engineering, physics and data science to medical imaging – with a particular focus on developing non-invasive technologies for detecting early biomarkers of eye and brain diseases.
Dr Hadoux leads the development of a world-first hyperspectral retinal imaging platform, combining proprietary imaging hardware with AI-based analytics. His research has contributed to key discoveries in retinal biomarkers for Alzheimer’s disease, age-related macular degeneration (AMD), diabetic retinopathy and ocular tumours. He is first author of the landmark study that reported the first in-vivo retinal biomarker for Alzheimer’s disease, and lead inventor on multiple patents for hyperspectral imaging and analysis.
He has published over 30 peer-reviewed papers and is currently leading the development of a regulatory-grade hyperspectral camera and AI foundation model trained on one of the largest spectral retinal datasets in the world. This work is supported by competitive commercialisation funding and is progressing toward TGA and FDA submission.
Dr Hadoux also co-developed XMAS: an open-source cross-modality annotation tool used to accelerate the creation of high-quality training datasets for ophthalmic AI research.
Key research questions
- What are the earliest detectable biomarkers of retinal and neurodegenerative diseases in hyperspectral data?
- Can we develop a foundation model from large-scale hyperspectral datasets to enable multi-disease detection from a single scan?
- How can hyperspectral imaging support disease monitoring, treatment response evaluation and risk stratification in both eye and brain disease?
Current projects
My team
Key collaborators
Funding and support
Current projects
- Low-cost hyperspectral camera prototyping from benchtop to clinic.
- Cross-modality retinal image annotation software to enable AI data analytics.
- Hyperspectral biomarker discovery for eye and brain diseases.
My team
- Maxime Jannaud – Electronic and software engineer
- Dr Francis Labrecque – Postdoctoral Research Fellow
- Darvy Dang – Research Assistant
- Roshan Karri – Student, Advanced retinal image analytics using deep learning
- Yimin (Luke) Lu – Student, Hyperspectral biomarker characterisation in age related macular degeneration (AMD)
- Omar Salehi – Student, Hyperspectral characterisation of retinal naevi
Key collaborators
- Optometry and vision science at UoM (Bang Bui, Christina Tang)
- Swinburne University Astrophysics (Ned Taylor, Chris Fluke)
- Australian Imaging, Biomarker & Lifestyle Study of Ageing (AIBL)
- KU Leuven, Belgium (Lies Degroef, Lieves Moons, Ingeborg Stalmans)
- The Dunedin Study
Funding and support
Thank you to the following organisations for their support:
- National Foundation for Medical Research & Innovation (NFMRI)
- Alzheimer’s Drug Discovery Foundation (ADDF) Diagnostics Accelerator (RDAPB-201809)
- Perpetual Hecht Trust
- Australian Vision Research (AVR)
- CERA Innovation Fund
- Macular Disease Foundation Australia (MDFA)
- Dr Steven Frisken (Philanthropic donation. Eyes and the sky)
- Danny Wallis Philanthropic Foundation
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