Curriculum Vitae: Rachel Fewster



1995-1998 : University of St Andrews, Scotland, UK.
PhD Statistics (1999).

1992-1995 : University of Cambridge, UK.
MA Mathematics (1995). 

Professional Activities

Coordinator of CatchIT! Data management and analysis for citizen science monitoring schemes.
Associate Editor, Biometrics, 2006 - present.

Marsden PI, $706K, 2021-2024. Inference for statistical linear inverse problems, with Martin Hazelton, Jesse Goodman, and Andrew Robinson.
Marsden AI, $300K, 2020-2023. Estimating animal population size in an unobservable spatial obstacle course, with Ben Stevenson.
Marsden PI, $680K, 2018-2021. Cells and whistles: genetic and acoustic methods of wildlife monitoring. Press release in English and and Te Reo Māori.
Marsden PI, $450K, 2015-2018. A question of identity: estimating population size with uncertain identification of individuals.
Marsden PI, $100K, 2004-2006. Where did you get that rat? Using population genetics to source invasive rats on NZ islands. Marsden Update.
MBIE PI, $150K, 2015-2016. Traps, Maps, and Stats: CatchIT-Schools educational programme for primary school children.
NZ National Tertiary Teaching Excellence awards: 2009 (individual); 2003 (joint).
Campbell Award 2018: the senior award of the NZ Statistical Association. ANZJS article.
Presidential invited speaker, joint conference of the Western North American Biometrics Society and Institute of Mathematical Statistics, 2021.
Keynote speaker, UK National Centre for Statistical Ecology annual meeting, 2021.
Keynote speaker, SEEM 2019, Wellington, 2019.
Keynote speaker, EURING 2017, Barcelona, Spain, 2017.
Keynote speaker, Australasian Biometrics Conference, Gold Coast, Australia, 2017.
Keynote speaker, EcoStats 15, Sydney, Australia, 2015.
Keynote speaker, 9th International Conference on Teaching Statistics, Flagstaff, Arizona, 2014.
Keynote speaker, 3rd International Statistical Ecology Conference, Oslo, Norway, 2012.
International Programme Committee, International Statistical Ecology Conferences: Sydney 2020; St Andrews 2018; Seattle 2016; Montpellier 2014.
International Programme Committee, International Biometric Conferences: Seoul 2020; Victoria BC 2016; Florianopolis Brazil 2010.

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Text Book: Mathematics and Statistics for Science

Sneyd, J., Fewster, R.M., and McGillivray, D. Mathematics and Statistics for Science. Springer, 2022.

This book supplies the maths and statistics concepts underlying scientific modelling. We've tried to make it highly accessible for non-specialists: the text is based on ideas, explanations, and examples, and gentle on mathematical detail. We hope it will be useful not only for students specialising in other fields, but also for those specialising in maths and statistics to motivate a more intuitive understanding of the subject. There are hundreds of applications-based exercises, and a full set of solutions available for instructors.

The chapters on Probability and Statistics are in Parts 8 to 12, and are suitable for a complete first course at undergraduate level. The foundational chapters may also be suitable for senior secondary students. Book website.