Tui Nolan

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Post Doctoral Research
Cornell University
2019 Roberta Sykes Fellowship
2016 ​Aurora Study Tour

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Tui is a Gudjal man, who grew up in Sydney. Tui is undertaking postdoctoral research in the Department of Statistical Science at Cornell University as part of his DPhil in Mathematics from the University of Technology Sydney.  He will be under the supervision of Professor David Rupert, working on methodology and computing for functional data analysis in astrophysics. 

​Tui was awarded a Fulbright Future Scholarship, a AAA-Aurora Indigenous Scholarship and a Roberta Sykes Fellowship. 

​Tui graduated with a Bachelor of Science with First Class Honours in Physics and Mathematics from The University of Sydney in 2013.  He also completed a Masters of Science (First Class Honours) in Mathematics and Statistics from UTS in 2015. 

In 2019, Tui attended NASA's Jet Propulsion Lab (JPL), a world leader in robotic exploration of the solar system, as the first of two Australian Indigenous students. 

As an inaugural recipient of the Australian Academy of Science Aboriginal and Torres Strait Islander Scientist Travelling Research Award, Tui visited the Alan Turing Institute in London, a world-leading centre in data science.  There he studied computational methods that have applications in public health and education. 

A DPhil candidate at UTS, Tui is a methodological statistician whose research in the UTS School of Mathematical and Physical Sciences overlaps mathematics and computer science. 


Links

Students look to new frontiers, UTS, November 2019

Alumni Spotlight: Tui Nolan, American Australian Association, 2019 AAA-Aurora Indigenous Education Scholar (Graduate Education Fund)

​Emerging Aboriginal and Torres Strait Islander scientists recognised, Australian Academy of Science, December 2018

I was very excited to come to New York.  Many of the mathematicians and statisticians that I have worked with have spent some of their careers in NY... There is a chance for statisticians to work in economic theory and astrophysics.  Both of these fields involve data analysis and statistical theory. These are areas that I could consider for the future. 

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