I am a statistician with primary research interests in developing methodologies for both supervised and unsupervised classification tasks involving complex, high-dimensional, mixed-type data, often in the presence of outliers. Publications to date include work on Bayesian nonparametric mixtures of factor analysers, covariate-dependent parsimonious model-based clustering, and risk-stratification for multi-omic prostate cancer data. I am currently working on applications of novel distance-based clustering approaches for longitudinal categorical sequences. I take a keen interest in the computational implementation of statistical models and have authored the R packages IMIFA, MoEClust, and MEDseq, all of which are available on CRAN.
I have a broad range of research interests in the fields of Statistics, Data Science, and Machine Learning including, but not limited to; mixture/latent-variable models, model-based clustering and classification, Bayesian statistics, shrinkage priors, applications to high-dimensional, mixed-type data, computational statistics, dimension reduction, sequence analysis, missing data mechanisms, tree-based methods, non-parametric regression, model selection, model aggregation, and data visualisation. Most of the research projects I have worked on involved a non-trivial computation aspect and I take a keen interest in distributing software implementations of my novel methodologies.
Peer Reviewed Journal
|2021||Murphy K.; Murphy T.B.; Piccarreta R.; Gormley I.C. (2021) 'Clustering longitudinal life-course sequences using mixtures of exponential-distance models'. Journal of the Royal Statistical Society. Series A, (Statistics in Society), . [DOI]|
|2020||Murphy K.; Murphy T.B. (2020) 'Gaussian parsimonious clustering models with covariates and a noise component'. Advances in Data Analysis and Classification, 14 (2):293-325. [DOI] [Full-Text]|
|2020||Murphy K.; Viroli C.; Gormley I.C. (2020) 'Infinite mixtures of infinite factor analysers'. Bayesian Analysis, 15 (3):937-963. [DOI] [Full-Text]|
|2018||Murphy K.; Murphy T.B.; Boyce S.; Flynn L.; Gilgunn S.; O'Rourke C.J.; Rooney C.; Stöckmann H.; Walsh A.L.; Finn S.; O'Kennedy R.J.; O'Leary J.; Pennington S.R.; Perry A.S.; Rudd P.M.; Saldova R.; Sheils O; Shields D.C.; Watson R.W.; (2018) 'Integrating biomarkers across omic platforms: an approach to improve stratification of patients with indolent and aggressive prostate cancer'. Molecular Oncology, 12 (9). [DOI]|
|2020||Gilgunn, S; Murphy, K; Stockmann, H; Conroy, PJ; Murphy, TB; Watson, RW; O' Kennedy, RJ; Rudd, PM; Saldova, R (2020) 'Glycosylation in Indolent, Significant and Aggressive Prostate Cancer by Automated High-Throughput N-Glycan Profiling'. International Journal of Molecular Sciences, 21 . [DOI] [Full-Text]|
|2020||Jalali A; Foley RW; Maweni RM; Murphy K; Lundon DJ; Lynch T; Power R; O'Brien F; O'Malley KJ; Galvin DJ; Durkan GC; Murphy TB; Watson RW; (2020) 'A risk calculator to inform the need for a prostate biopsy: a rapid access clinic cohort'. BMC Medical Informatics and Decision Making, 20 (1). [DOI] [Full-Text]|
|2017||Hanrahan K; O'Neill A; Prencipe M; Bugler J; Murphy L; Fabre A; Puhr M; Culig Z; Murphy K; Watson RW; (2017) 'The role of epithelial-mesenchymal transition drivers ZEB1 and ZEB2 in mediating docetaxel-resistant prostate cancer'. Molecular Oncology, 11 (3). [DOI]|
|2016||Foley RW; Maweni RM; Gorman L; Murphy K; Lundon DJ; Durkan G; Power R; O'Brien F; O'Malley KJ; Galvin DJ; Brendan Murphy T; William Watson R; (2016) 'European Randomised Study of Screening for Prostate Cancer (ERSPC) risk calculators significantly outperform the Prostate Cancer Prevention Trial (PCPT) 2.0 in the prediction of prostate cancer: a multi-institutional study'. BJU International, 118 (5). [DOI]|
|2016||Foley RW; Gorman L; Sharifi N; Murphy K; Moore H; Tuzova AV; Perry AS; Murphy TB; Lundon DJ; Watson RW; (2016) 'Improving multivariable prostate cancer risk assessment using the Prostate Health Index'. BJU International, 117 (3). [DOI]|
|2015||Foley RW; Lundon DJ; Murphy K; Murphy TB; Galvin DJ; Watson RW; (2015) 'Predicting prostate cancer: analysing the clinical efficacy of prostate cancer risk calculators in a referral population'. Irish Journal of Medical Science, 184 (3). [DOI]|
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Editorial / Academic Reviews
I am currently lecturing modules on Linear Models, Statistical Computing with R, and Nonparametric Statistics. Other courses I have previously taught include Statistical Machine Learning, Stochastic Processes, and Design & Analysis of Experiments.