Dr Keefe Murphy

Mathematics and Statistics

Lecturer

Logic House
130
(01) 708 4641

Biography

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.

Research Interests

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 Journals

  Year Publication
2021 'Clustering longitudinal life-course sequences using mixtures of exponential-distance models'
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] [Details]
2020 'Gaussian parsimonious clustering models with covariates and a noise component'
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] [Details]
2020 'Infinite mixtures of infinite factor analysers'
Murphy K.;Viroli C.;Gormley I.C. (2020) 'Infinite mixtures of infinite factor analysers'. Bayesian Analysis, 15 (3):937-963 [DOI] [Details]
2018 'Integrating biomarkers across omic platforms: an approach to improve stratification of patients with indolent and aggressive prostate cancer'
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] [Details]
2020 'Glycosylation in Indolent, Significant and Aggressive Prostate Cancer by Automated High-Throughput N-Glycan Profiling'
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] [Details]
2020 'A risk calculator to inform the need for a prostate biopsy: a rapid access clinic cohort'
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] [Details]
2017 'The role of epithelial-mesenchymal transition drivers ZEB1 and ZEB2 in mediating docetaxel-resistant prostate cancer'
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] [Details]
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'
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] [Details]
2016 'Improving multivariable prostate cancer risk assessment using the Prostate Health Index'
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] [Details]
2015 'Predicting prostate cancer: analysing the clinical efficacy of prostate cancer risk calculators in a referral population'
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] [Details]

Computer Program

  Year Publication
2020 MEDseq: Mixtures of Exponential-Distance Models with Covariates.
Murphy, K.; Murphy, T.B.; Piccarreta, R.; Gormley, I.C. (2020) MEDseq: Mixtures of Exponential-Distance Models with Covariates. Computer Program [Details]
2020 MoEClust: Gaussian Parsimonious Clustering Models with Covariates and a Noise Component.
Murphy K.;Murphy T.B. (2020) MoEClust: Gaussian Parsimonious Clustering Models with Covariates and a Noise Component. Computer Program [Details]
2020 IMIFA: Infinite Mixtures of Infinite Factor Analysers and Related Models.
Murphy K.;Viroli C.;Gormley I.C. (2020) IMIFA: Infinite Mixtures of Infinite Factor Analysers and Related Models. Computer Program [Details]

Honours and Awards

  Year Title Awarding Body
2020 Distinguished Dissertation Award The Classification Society

Education

  Year Institution Qualification Subject
2019 University College Dublin Doctor of Philosophy Statistics
2014 University College Dublin Master of Science Statistics
2012 University of Limerick Bachelor of Science Economics & Mathematics

Reviews

  Journal Role
Advances In Data Analysis And Classification Reviewer
Statistics And Computing Reviewer
Computational Statistics And Data Analysis Reviewer
Journal Of Computational And Graphical Statistics Reviewer
Annals Of Applied Statistics Reviewer
Scandinavian Journal Of Statistics Reviewer
Statistical Analysis And Data Mining Reviewer
International Journal Of Computer Applications In Technology Reviewer

Teaching Interests

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.