Picture of an eye.

A multi-disciplinary approach to mild traumatic brain injury

"Our goal is to create a piece of software that is capable of automatically analysing hundreds of thousands of pupil-tracked coordinates. This would allow a clinician to interpret the results and guide clinical decision making in real-world practice."
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Ultrasound picture of the heart in four chamber view.

Machine learning for clinical decision making

"Through the Consultancy with NeSI, I was able to develop my code to be far more efficient."
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Stephen Wolfson NeSI Case Study University of Auckland

Fractal analysis of brain signals for autism spectrum disorder

“NeSI’s participation in our project is essential. It allows us to have a more robust computational capacity.”
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NeSI Case Study June Lau University of Auckland

Computer models could help reduce surgery cancellations

“It’s been amazing to be able to use NeSI to do that because it means we can change different parameters in our simulation model and through that we can do wider scenario analysis.”
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Building genomics connections across the Tasman

“The training workshops provided an excellent introduction to the GVL environment and there is definitely potential for considering it as part of our compute offerings for Genomics Aotearoa.”
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© Wikimedia Commons, Nogas1974

Using HPC for Research and Career Development in Life Sciences

“The opportunity to push myself in a new direction and see it come to fruition is why I pursued a career in science and using NeSI was an excellent way to include transferable skills and personal development in my PhD. "
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Improving heart disease prediction and prognosis

“NeSI enabled us to run biologically realistic, numerical experiments, which are impossible to conduct in vivo.”
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University of Otago researchers join the international high-speed data superhighway

“NeSI provides its partners with access to best High Performance Computing practices from around the world; and with the concepts, ideas and practical help to make these sorts of research IT services a reality.”
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Virtual post-capillary venule, informed by biological data, used in our computational simulations

Understanding mechanical signalling in the microcirculation

“Our computational challenges were significant and required the high performance computing facilities available through NeSI.”
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Colour coded digitised image slice

Multi-scale modelling of saliva secretion

“Thanks to NeSI, we were able to render higher quality images and run many more simulation variants than would have been possible on a desktop computer.” Prof. James Sneyd
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