Heath Pardoe
Neuroimaging Theme Lead at The Florey
Melbourne, Victoria, Australia
Summary
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Senior🎓
Top SchoolHeath Pardoe is a neuroimaging leader with 11 years of experience developing computational MRI techniques to map anatomical brain changes in neurological disease, with a particular focus on epilepsy. As Neuroimaging Theme Lead at The Florey and Associate Professor roles in Australia and previously at NYU, he combines deep learning, machine learning and multi-site harmonization to make large-scale MRI datasets comparable and clinically useful. He is known for rigorous image quality control methods that explicitly assess and correct in-scanner head motion—a subtle but critical factor often overlooked in studies. Heath’s work bridges academic research and large collaborative projects like the Australian Epilepsy Project, translating quantitative imaging advances into operational science. Trained as a PhD biophysicist, he pairs strong methodological grounding with hands-on leadership in multi-center neuroimaging science.
11 years of coding experience
9 years of employment as a software developer
PhD, Biophysics, PhD, Biophysics at The University of Western AustraliaDux (Valedictorian), Dux (Valedictorian) at Bunbury Catholic College
Github Skills (17)
viewer10
imaging10
medical10
image-analysis9
footprint9
cornerstone9
dicom9
medical-imaging9
javascript8
medical-image-processing8
ohif7
wordpress5
woocommerce4
pytorch3
point-of-sale2
Programming languages (5)
Github contributions (5)
hpardoe/struct.mri
Nov 2014 - Mar 2016
Contributions:16 commits, 12 pushes in 1 year 4 months
hpardoe/napr
Dec 2016 - Jan 2017
A cloud-based framework for age prediction using neuroimaging
Contributions:18 commits, 13 pushes, 1 branch in 27 days
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