Aaron Nicolson

Research Scientist at CSIRO

Queensland, Australia
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Summary

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Aaron Nicolson is a research scientist at CSIRO with nine years of experience applying machine learning to healthcare and speech processing. He specialises in multimodal language modelling for medical image analysis—particularly radiology report generation—building models that bridge visual and textual clinical data. His PhD work advanced robust speech enhancement and speaker recognition methods, giving him deep expertise in signal processing and noisy-domain ML. Based at the Australian e-Health Research Centre in Queensland, he translates academic rigor into applied research that informs real-world e-health systems. Colleagues value his ability to move projects from theoretical foundations through to deployment-ready prototypes. He combines first-class honours engineering training with a track record of interdisciplinary collaboration across medical imaging and speech technologies.
code9 years of coding experience
bookBE (1st Class Hons, Electronic and Computer), BE (1st Class Hons, Electronic and Computer) at Griffith University
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Stackoverflow

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Github Skills (104)

python10
deep-learning10
speech10
adversarial-learning10
resnet10
nlp10
lightning10
artificial-intelligence10
natural-language-processing10
theano10
pytorch10
residual-networks10
lifecycle10
machine-learning10
keras10

Programming languages (2)

MATLABPython

Github contributions (5)

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Fork this deep learning & HPC starter pack repository to begin your project.
Contributions:2 releases, 1 review, 34 commits in 5 months
pythonbegindeep-learningstarter-packmachine-learning
anicolson/DeepXi

Aug 2021 - Feb 2022

Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.
Contributions:3 commits, 3 PRs, 441 pushes in 5 months
adversarial-learningasrtheanospeech-separationtensorflow
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Aaron Nicolson - Research Scientist at CSIRO