CERA

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.

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