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(PhD Brown University, USA)Matthew Parry (2022)

Associate Professor
Course co‑ordinator for BAppSc in Data Science

Office: Science III, room 236
Tel +64 3 479 7780


My PhD was in physics but I moved into statistics courtesy of an EPSRC (UK) Statistics Mobility Fellowship. I have been a member of the Department of Mathematics and Statistics since 2011.

I am currently a principal investigator at Te Pūnaha Matatini Centre for Research Excellence. I am deputy leader of NZ Science Group, which is part of the Laser Interferometer Space Antenna (LISA) Consortium. I am also a past President of the NZ Statistical Association (2020–2022).

Teaching responsibilities

My teaching responsibilities include:

  • STAT 312 Modelling High Dimensional Data
  • STAT 372 Stochastic Modelling
  • STAT 405 Probability and Random Processes
  • INFO 420 Statistical Techniques for Data Science

Research interests

My research expertise is mathematical and statistical modelling. My research is currently focused on applications of scoring rules in statistics, modelling epidemics in plants and human populations, analysis of solar storms and geomagnetic events, statistical analysis of gravitational waves, modelling of methylation and epigenetic modification, and the development of new algorithms for statistical inference. These activities are strongly influenced by my background in physics and computational methods.

I am actively looking for Honours and postgraduate students to work on projects in these areas. I value mathematical and computational ability as much as I do statistical background.


Arnold, R., Binny, R. N., Lumley, T., Lustig, A., Parry, M., & Plank, M. J. (2024). Estimating the risk of SARS-CoV-2 infection in New Zealand border arrivals. BMC Global & Public Health, 2, 27. doi: 10.1186/s44263-024-00057-2 Journal - Research Article

Wang, T., Parry, M., Rodger, C., Allen, J., & Petersen, T. (2023). Forecasting extreme geomagnetic storms using different statistical models. Proceedings of the European Geosciences Union (EGU) General Assembly. EGU23-11294. doi: 10.5194/egusphere-egu23-11294 Conference Contribution - Published proceedings: Abstract

Easterbrook-Clarke, L., Hardie, S., Petersen, T., Wang, T., Parry, M., Davison, A., … Rodger, C. J., … Oliver, W., & Williams, C. (2023). Digitising historical New Zealand paper magnetograms to extract one-minute data as input for modelling geomagnetic storms [Invited]. Proceedings of the 28th General Assembly of the International Union of Geodesy and Geophysics (IUGG). doi: 10.57757/IUGG23-0757 Conference Contribution - Published proceedings: Abstract

Nanayakkara, S., Zeng, J., Turner, R., Parry, M., & Sywak, M. (2023). Development and internal validation of clinical risk prediction models for structural recurrence disease of thyroid cancer. Proceedings of the New Zealand Biostatistics Conference. Retrieved from Conference Contribution - Published proceedings: Abstract

Yassi, M., Chatterjee, A., & Parry, M. (2023). Application of deep learning in cancer epigenetics through DNA methylation analysis. Briefings in Bioinformatics, 24(6). doi: 10.1093/bib/bbad411 Journal - Research Other

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