A screenshot of NIWA researcher Neelesh Rampal's deep learning model.

Using deep learning models to improve climate change projections

"The advantage of learning how to create workflows on the NeSI HPC platform, is that we could create reproducible science which enables better collaboration amongst scientists."
Group photo of the Genomics and System Biology lab in the Liggins Institute at the University of Auckland.

3D genome modelling for complex diseases

“Analysing this type of data is very computationally heavy. Last week I analysed seven new data sets in two days. Now we have additional 3D structured genome data sets from different tissues and cell types. It is amazing.”
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A map of the Earth

Automatic detection of slow slip earthquake events

"I wouldn’t have been able to conduct such large-scale simulations without the help of NeSI support."
3D visualisation of a salivary gland

Using 3D models to improve health outcomes

"We could not have undertaken work of this complexity and scale without support from the NeSI Consultancy team."
Satellite image of the Alpine Garden landslide in Fox Glacier/Te Moeka o Tūawe valley.

Modern mapping that detects and monitors landscape changes

“To compare and process these images, we need a large amount of processing power and memory."
A close up view of a New Zealand green-lipped mussel.

Predicting patterns among kaimoana species

"I wouldn’t have been able to operate at the scale I am now without NeSI's help."
University of Auckland researchers working on the Contagion Network Team of Te Pūnaha Matatini's Covid modelling response include (L to R): James Gilmour, Steven Turnbull, Dion O’Neale, Oliver Maclaren, Emily Harvey, Frankie Patten-Elliott, David Wu.

Helping policy-makers understand scenarios and interventions to prevent COVID-19 spread

"Beyond the tangible performance improvements, NeSI have helped us improve our workflow and tooling, and have been an amazing source of feedback for large-scale scientific software development and deployment. "
An example graph generated by the Waiwera geothermal simulator.

Next-gen geothermal modelling for a cheap green energy future

“Use of NeSI was central to our software development. We don’t know how big models will get in the future, so we wanted to make this as scalable as possible."
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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