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Ratings & reviews

3.011/18/2025

This comment is not public.

5.08/20/2025

Inspires curiosity and a thirst for knowledge.

4.05/21/2025

Helps students see the bigger picture.

5.03/31/2025

Always fair, encouraging, and motivating.

4.02/27/2025

Always fair, encouraging, and motivating.

5.02/5/2025

Great Professor!

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About Ross

Dr Ross McVinish is a Lecturer in Mathematics in the School of Mathematics and Physics at the University of Queensland. He received his PhD from Queensland University of Technology in 2002, along with a Bachelor of Applied Science and a Bachelor of Applied Science (Honours) from the same institution. His research focuses on applied probability, Bayesian statistics, and mathematical modelling of complex systems in population biology. McVinish has contributed to the analysis of metapopulation models, studying conditions under which these models can be approximated by simpler deterministic, Gaussian, and point process models. He has also advanced Bayesian goodness-of-fit testing by improving computational tools and theoretical results for assessing model fit in Bayesian settings. In 2009-2010, he received the UQ New Staff Research Start-Up Fund for the project 'Bayesian nonparametric methods for system identification'. As an associate editor for the Australian and New Zealand Journal of Statistics, he plays a key role in scholarly publishing. McVinish has served as associate advisor for five completed PhD supervisions, including theses on approximations for finite spin systems and occupancy processes (2019), a model for the spread of an SIS epidemic (2015), spatially structured metapopulation models (2015), fault detection in complex systems (2014), and analytical methods for stochastic discrete-time metapopulation models (2011), all in collaboration with Emeritus Professor Philip Pollett.