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(BSc, MSc (Alaska Fairbanks), PhD Otago)Headshot Peter Dillingham

Associate Professor
Director of Studies for 200- and 300-level Statistics
Coastal People: Southern Skies Centre of Research Excellence (Theme Leader)

Office: Science III, room 516
Tel +64 3 479 5971
Email peter.dillingham@otago.ac.nz

About

Originally from southern California, I moved to the far north where I obtained my undergraduate degree in Mathematics, followed by an MSc in Mathematics and Statistics from the University of Alaska Fairbanks. After five years as a researcher at the University of Washington, and a year as a stay-at-home Dad in Dublin, I moved to the far south for my PhD (Population modelling of seabirds) at the University of Otago. Following stints at Clark University (Massachusetts) and leading the Statistics group at the University of New England (New South Wales), I returned to Otago in 2017.

Teaching responsibilities

Teaching responsibilities include:

  • STAT 210 Applied Statistics (Course Coordinator)
  • STAT 371 Bayesian Data Analysis (Course Coordinator)
  • STAT 441 Topic in Advanced Statistics (Official Statistics, Local Coordinator)
  • MARI 401 Advanced Methods in Marine Science

Research Interests

Ecological, Environmental, and Bayesian Statistics. Much of my work brings quantitative methods to the study of marine systems, and trying to understand and address humankind's impact on them. This includes designing multi-factor experiments for studying ocean global change, developing tools to help manage impact on marine megafauna from fisheries, and developing statistical models for chemical sensors used for environmental monitoring. I maintain a secondary interest in health applications, particularly health outcomes research.

Publications

Law, C. S., Barr, N., Currie, K., Deppeler, S., Dillingham, P. W., Gall, M. P., … Murdoch, J., … Safi, K. (2026). Coastal phytoplankton response to acidification and warming under differing levels of nutrient availability. Microorganisms, 14, 989. doi: 10.3390/microorganisms14050989 Journal - Research Article

Smith, A. M., Dillingham, P. W., Hassan, C., Peebles, B. A., & Dixon-Anderson, I. S. (2026). Trimineralic abalone shells (Haliotis iris Gmelin, 1791) and X-ray diffractometry: A Bayesian calibration model for resolving complex skeletal mineralogy. PLoS ONE, 21(4), e0346638. doi: 10.1371/journal.pone.0346638 Journal - Research Article

Bennington, S., Dillingham, P. W., Wickman, L., Webster, T., Brough, T., Slooten, E., Dawson, S. M., & Rayment, W. J. (2026). Multi-event modeling of Hector's dolphin (Cephalorhynchus hectori) fecundity using four decades of monitoring: Implications for current management of bycatch. Conservation Science & Practice, 8(e70242). doi: 10.1111/csp2.70242 Journal - Research Article

Dillingham, P. W., Collins, S., Comeau, S., Cornwall, C. E., Dupont, S., McGraw, C. M., & Thomas, M. K. (2025). The MEDDLE data analysis guides as a living resource for multiple-driver marine research. Limnology & Oceanography Bulletin. Advance online publication. doi: 10.1002/lob.70013 Journal - Professional & Other Non-Research Articles

Coakley, J. B., Dillingham, P. W., & Lamare, M. D. (2025). A new approach to quantifying growth in sea stars through the application of tetracycline tag-recapture methods. Marine Biology, 172, 173. doi: 10.1007/s00227-025-04723-3 Journal - Research Article

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