Mr Christopher David Nottingham
Chris Nottingham is a PhD candidate in the Statistics Department at Auckland University under the supervision of Associate Professor Russell Millar. His research is centred around improving modelling approaches that are used in fisheries stock assessment. Currently, he is developing a number of stock assessment models for the management of New Zealand’s surf clams. In addition to this, he is looking into ways of improving the management of New Zealand’s snapper fisheries. Most of Chris' tertiary studies have been through Auckland University where he has attained a BSc Hons and a MSc majoring in statistics.
2013: Most Outstanding BSc Graduate, AUT University
2013: Best Undergraduate Research Project, AUT University
2014: Distinction in Data Technologies, University of Auckland
2015: First in Course Award in Data Science Practice, University of Auckland
2015: Masters Scholarship in Quantitative Fisheries Science, MPI/NIWA
2016: Summer Research Scholarship, University of Auckland
2017: Auckland University PhD Scholarship, University of Auckland
Selected publications and creative works (Research Outputs)
- Nottingham, C. D. (2016). Bayesian Length-Based Stock Assessment of the New Zealand Abalone Haliotis iris using Stan, Template Model Builder, and AD Model Builder The University of Auckland. ResearchSpace@Auckland.
- Nottingham, C. D., & White, W. L. (2015). Annual Reproductive Cycle and Condition Index of the New Zealand Surf Clam Mactra murchisoni (Deshayes, 1854) (Bivalvia: Mactridae). Journal of Shellfish Research, 34 (3), 777-784. 10.2983/035.034.0306