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“Our eyes cannot focus on the arm, leg and eyes at the same time, but a machine can learn the connectivity in the limbs’ movements.”

“It would take me a day to train one machine learning model [on my desktop], but I'd train something like 56 models in a day on Mahuika.”

"This was my first time using the kind of HPC, so the support team helped a lot. I am very grateful for that."

“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.”

"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."

"Through the Consultancy with NeSI, I was able to develop my code to be far more efficient."

“NeSI’s participation in our project is essential. It allows us to have a more robust computational capacity.”

“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.”

“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.”

“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. "