Dr Kathy Ruggiero
PhD (Statistics); BSc Hons (Statistics)
My research interests lie in two complementary areas:
- Developing statistical methods for designing efficient data collection protocols, and
- Enabling scientists to optimize the quality of their research by developing accessible software to assist them in:
- Developing their own data collection protocols and
- Purposefully analyzing their data.
I have a long history of collaborating with research scientists, working at the interface of statistics and a broad range of life science disciplines.
Before joining the University of Auckland, I spent 3 years (2003 – 2006) working as a Research Statistician at CSIRO’s former Division of Mathematical and Information Sciences (Canberra, Australia). There I largely worked with plant scientists who were generating what was at that time considered be very large datasets using a very new cutting-edge biotechnology, namely cDNA two-colour microarrays!
When in 2006 I joined the Proteomics and Biomedicine Research Group led by Professor Garth Cooper, I collaborated on numerous diabetes research studies, both advising and being actively involved in the design and analysis of experiments using high-throughput omics technologies.
Finally, in 2010 I joined the Department of Statistics as a Senior Lecturer and as a Senior Consultant in the Department’s Statistical Consulting Center.
Research | Current
Optimal design and analysis of two-phase experiments, particularly where the second phase involves a multiplexing technology
Optimal block designs for experiments in which the responses violate unit-treatment additivity
Teaching | Current
BIOSCI 738 (Advanced Biological Data Analysis)
STATS 761 (Mixed Models)
Potential student projects:
Optimal field sampling strategies for detecting and modelling airborne plant pathogens of commercial crops
Robust sampling strategies for detecting the behaviour of terrestrial agricultural pests for the purposes of field pest management
Kathy is also a consultant within the Department of Statistics Statistical Consulting Centre.
Selected publications and creative works (Research Outputs)
- Dunphy, B. J., Ruggiero, K., Zamora, L. N., & Ragg, N. L. C. (2018). Metabolomic analysis of heat-hardening in adult green-lipped mussel (Perna canaliculus): A key role for succinic acid and the GABAergic synapse pathway. Journal of thermal biology, 74, 37-46. 10.1016/j.jtherbio.2018.03.006
Other University of Auckland co-authors: Brendon Dunphy
- Zazzaro, D., Ruggiero, K., & Jeffs, A. (2018). Use of extract from adults of the triangle barnacle, Balanus trigonus , for reducing fouling in mussel farms. Aquaculture, 483, 223-229. 10.1016/j.aquaculture.2017.10.012
Other University of Auckland co-authors: Andrew Jeffs
- Ruggiero, K. (2017). meantable: Exploring, summarising and visualising data from experiments [Computer software].
- Zeng, I. S. L., Lumley, T., Ruggiero, K., & Middleditch, M. (2017). A Bayesian approach to multivariate and multilevel modelling with non-random missingness for hierarchical clinical proteomics data. 10.1101/153049
Other University of Auckland co-authors: Thomas Lumley, Martin Middleditch
- Strauss, O., Phillips, A., Ruggiero, K., Bartlett, A., & Dunbar, P. (2017). Immunofluorescence identifies distinct subsets of endothelial cells in the human liver. Scientific Reports, 7.10.1038/srep44356
Other University of Auckland co-authors: Adam Bartlett, Rod Dunbar, Anthony Phillips
- Strauss, O., Phillips, A., Ruggiero, K., Bartlett, A. S., & Dunbar, P. R. (2017). Immunofluorescence identifies distinct subsets of endothelial cells in the human liver. Paper presented at International Liver Congress / 52nd Annual Meeting of the European-Association-for-the-Study-of-the-Liver, Amsterdam, NETHERLANDS. 19 April - 23 April 2017. JOURNAL OF HEPATOLOGY. (pp. 1).
Other University of Auckland co-authors: Adam Bartlett, Rod Dunbar
- Crimmins, D., Flanagan, P., Charlewood, R., & Ruggiero, K. (2016). In vitro comparison between gamma-irradiated cryopreserved and Day 7 liquid-stored buffy coat-derived platelet components. Transfusion, 56 (11), 2799-2807. 10.1111/trf.13763
- Mumme, K., Gray, C., Reynolds, C. M., Vickers, M. H., Harrison, C. J., Stanley, J. L., ... Sulek, K. (2016). Maternal-fetal hepatic and placental metabolome profiles are associated with reduced fetal growth in a rat model of maternal obesity. Metabolomics, 12 (5).10.1007/s11306-016-1014-9
Other University of Auckland co-authors: Mark Vickers