Rate My Professor Ryan Admiraal

Ryan Admiraal is a statistician specializing in applied statistical methods. He received his Ph.D. in Statistics from the University of Washington in Seattle, USA, in 2009. Earlier, from 1998 to 2002, he studied Mathematics and Statistics as well as English at Calvin University. Following his doctorate, Admiraal served as a Lecturer in the Department of Mathematics and Statistics at Murdoch University, within the School of Engineering and Information Technology in Perth, Australia. During his tenure there, his professional email was R.Admiraal@murdoch.edu.au. His research at Murdoch focused on social network analysis, survey methodology, data analysis, water and sanitation issues, ecological modeling, and related fields.

Admiraal co-authored several significant publications while affiliated with Murdoch University, including 'A Log-Linear Modelling Approach to Assessing The Consistency of Ego Reports of Dyadic Outcomes With Applications to Fertility and Sexual Partnerships' (2015, Journal of the Royal Statistical Society: Series A), 'Modeling concurrency and selective mixing in heterosexual partnership networks with applications to sexually transmitted diseases' (2016, Annals of Applied Statistics), 'Using baseline surveys to inform interventions and follow-up surveys: a case-study using the Nampula Province Water, Sanitation, and Hygiene Program' (2014, Journal of Water, Sanitation and Hygiene for Development), and 'Learning by design: lessons from a baseline study in the NAMWASH Small Towns Programme, Mozambique' (2014). He supervised honours and doctoral theses on subjects such as octopus predation on abalone sea ranches, the role of Phytophthora in predisposing Corymbia calophylla to canker disease, and incorporating endpoint uncertainty into biomedical survival analysis. Admiraal's work has contributed to advancements in statistical applications for conservation, forestry, fisheries, and public health, with his publications accumulating over 400 citations on Google Scholar. He subsequently joined Victoria University of Wellington as Senior Lecturer in Statistics and Data Science in the School of Mathematics and Statistics, where he teaches data science and statistics courses at undergraduate and postgraduate levels and continues research in social network analysis and ecological statistics.