Medical Physicist at Townsville Hospital and Health Service
Townsville, Queensland, Australia
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Summary
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Rockstar
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Ashley Gillman is a Medical Physicist with 11 years’ experience applying physical modelling and motion-correction techniques to PET and PET/MR imaging, currently based in Townsville and working on harmonising PET biomarkers across national dementia studies. Her doctoral and postdoctoral work produced novel data-driven PET motion-tracking and reconstruction methods, and she has translated those skills into multi-site biomarker standardisation for AIBL and the Australian Dementia Network. A practical coder and Python enthusiast, she contributes to the popular neuroimaging workflow engine Nipype, improving backend file utilities and test coverage to boost reproducibility. Her portfolio spans Alzheimer’s disease, epilepsy, paediatrics, oncology and infectious disease, and she recently began exploring AI-driven motion management for MRI-guided radiotherapy.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Medical Imaging, Doctor of Philosophy (Ph.D.), Medical Imaging at The University of Queensland
The University of Sydney
Bachelor of Engineering - BEng (hons), Electrical and Electronics Engineering, Bachelor of Engineering - BEng (hons), Electrical and Electronics Engineering at James Cook University
Year 12 Certification, Year 12 Certification at Ignatius Park College
Workflows and interfaces for neuroimaging packages
Role in this project:
Back-end Developer & QA Engineer
Contributions:16 commits, 9 PRs, 39 comments in 1 year 5 months
Contributions summary:Ashley primarily contributed to the backend functionality of the neuroimaging workflow engine. They focused on enhancing file manipulation utilities, including adding functionality to copy related files and introducing a more robust method for finding related files. They also implemented and expanded unit tests, specifically testing the functionality of new features and edge cases in the file manipulation module, demonstrating a focus on code quality and reliability. Furthermore, the user addressed issues related to graph visualizations within the workflow engine.
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Ashley Gillman - Medical Physicist at Townsville Hospital and Health Service