People

True societal impact requires productive collaboration between like-minded individuals. I value team-science and am fortunate to be surrounded by many outstanding early career scientists.

Team

Ellis

Ellis Patrick
ellis.patrick@sydney.edu.au
+61 402 159 424

Shreya

Shreya Rao
Honours Student
https://github.com/shreyarao24

Shreya

Joshua Pople
Honours Student
https://github.com/Jpop3

Farhan

Farhan Ameen
PhD Student
https://github.com/fame2827
Co-supervisor Shila Ghazanfar

Adam

Adam Chan
PhD Student
https://github.com/adam2o1o
Co-supervisor Jean Yang

Harry

Harry Robertson
PhD Student
https://github.com/Harry25R
Co-supervisor Jean Yang

Elijah

Elijah Willie
PhD Student
https://github.com/ecool50
Co-supervisor Pengyi Yang

Andrew

Andrew Sawyer
Postdoc
https://github.com/asawyer123
Co-supervisor Carl Feng

SPDS

Alex Qin
Research Assistant
https://github.com/alexrunqin

SPDS

Nick Robertson
Software Engineer
https://github.com/nick-robo

Alumni

Madi

Madeleine Otway
PhD Student
https://github.com/madeleineotway
Co-supervisor Phil Robinson

Nick

Nick Canete
MPhil Student
https://github.com/nickcee
Co-supervisor Andrew Harman

Heeva

Heeva Baharlou
PhD Student
https://github.com/heevaBaharlou
Co-supervisor Andrew Harman

Alex

Alexander Nicholls
Honours Student
https://github.com/anic0077

Sourish

Sourish Iyengar
Honours Student
https://github.com/sourish279

Celso

Celso Milne
Undergraduate Student
https://github.com/celsomilne

thomas

Thomas Ye
Honours Student
https://github.com/thomas835

Alan

Alan Burzevski
Honours Student
https://github.com/alanburzevski

Kate Brewer

Kate Brewer
Honours student
https://github.com/kbrew2

Jasmine

Jasmine Yuan
Honours Student
https://github.com/jasyuan
Co-supervisor Andrew Harman

The Sydney Precision Data Science Centre

SPDS

The purpose of the Sydney Precision Data Science Centre is to engage in high quality and transformational multidisciplinary research and to provide a research hub to all interdisciplinary researchers in data-intensive science. We generate innovative, fit-for-purpose applied analytical methodologies that are critical to knowledge discovery through the deep integration of various quantitative disciplines and research paradigms. We are focused on developing methods to help solve complex global problems, from designing predictive biomarkers of disease progression to ensuring the sustainability and quality of food production.

Our priorities

We work on the principle that successful and sustainable collaboration grows organically within the right environment. To this end, our priorities for success are to:

  • embrace data science challenges by developing innovative, fit-for-purpose applied methods in synergistic partnerships with key data-generating centres at Sydney and beyond

  • address data challenges with high societal impact and to build sustainable approaches

  • provide an incubator for interdisciplinary careers

  • establish a collaborative community that reflects and values diversity.