Rate My Professor Matthew Parry

Parry serves as a principal investigator at Te Pūnaha Matatini Centre of Research Excellence, where he acted as the outgoing lead of the Complexity Community of Inquiry. He is deputy leader of the New Zealand Science Group, part of the Laser Interferometer Space Antenna (LISA) Consortium, and was President of the New Zealand Statistical Association from 2020 to 2022. Key publications include 'Proper local scoring rules' (The Annals of Statistics, 2012), 'Digital contact tracing technologies in epidemics: a rapid review' (Cochrane Database of Systematic Reviews, 2020), 'Bayesian inference for an emerging arboreal epidemic in the presence of control' (Proceedings of the National Academy of Sciences, 2014), 'Sensitivity of reverse transcription polymerase chain reaction tests for severe acute respiratory syndrome coronavirus 2 through time' (The Journal of Infectious Diseases, 2023), and 'How to evaluate probabilistic prediction models: Key metrics' (Journal of Clinical Epidemiology, 2026). His scholarly output has received over 1,765 citations. Parry teaches courses such as STAT 312 Modelling High Dimensional Data, STAT 372 Stochastic Modelling, STAT 405 Probability and Random Processes, and INFO 420 Statistical Techniques for Data Science, and he coordinates the BAppSc in Data Science.