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Claire Gormley

Associate Professor

School Of Mathematics & Statistics
Science Centre - South
Belfield
Dublin 4

Tel: +353 1 7162525
Email: claire.gormley@ucd.ie

Biography

I am an Associate Professor in the School of Mathematics and Statistics in University College Dublin where I conduct statistical research and teach statistics to undergraduate and graduate students. I am a Funded Investigator in the Insight Centre for Data Analytics, in UCD.

My research involves the development of novel statistical methods: I conceive, develop, implement and disseminate novel statistical methods to solve applied problems.

My statistical research has led to collaborations with a range of other disciplines, including epigenomics, metabolomics, genomics, social science, sports science and political science. I collaborate with statisticians and scientists, nationally and internationally. 

In 2016 I was awarded Chartered Statistician status (CStat) by the Royal Statistical Society. I was elected to Council of the Royal Statistical Society in October 2016.

I am an Associate Editor for the Annals of Applied Statistics. 

My website is available here, and my Google Scholar profile is available here.

Education and Employment:

2017 - present.
Associate Professor, University College Dublin, Ireland. 

2008 - 2017. 
Assistant Professor/Lecturer in Statistics, University College Dublin, Ireland.
 

2006 - 2008.    
Assistant Lecturer in Statistics, University College Dublin, Ireland.

2003 - 2006.    
PhD in Statistics, Department of Statistics, Trinity College Dublin, Ireland.

2005.              
Visiting Scholar, Department of Statistics and Centre for Statistics & the Social Sciences, University of Washington, USA. (May - September)

1999 - 2003.  
B. A. (Mod) Mathematics, Department of Mathematics, Trinity College Dublin Ireland. Awarded first class honours.



 

 

 

 

Professional

Honours and Awards

Year: 2017.
Title: Elected to Council of the Royal Statistical Society, UK.
Year: 2016.
Title: Chartered Statistician (CStat), Royal Statistical Society, UK.
Year: 2011.
Title: Chikio Hayashi Award, International Federation of Classification Societies.
Year: 2010.
Title: Associate Editor for the Annals of Applied Statistics.

Associations

Association: Royal Statistical Society., Function/Role: Elected member of Council. Fellow. Founding member and former treasurer of the Young Statisticians' Section.
Association: Irish Statistical Society., Function/Role: Member. Former member of the Executive Committee.
Association: International Statistical Institute., Function/Role: Member. Irish representative on the International Statistical Institute Young Statisticians' Committee.
     

Conference Contributions

Isobel Claire Gormley (2016) MBCbigP: model based clustering for high dimensional data. [Invited Oral Presentation], Working Group in Model Based Clustering, Université Paris Descartes, France , 18-JUL-16 - 22-JUL-16.
Isobel Claire Gormley (2014) A dynamic probabilistic principal components model for the analysis of longitudinal metabolomics data. [Invited Oral Presentation], Conference of the Royal Statistical Society, Sheffield , 01-SEP-14 - 05-SEP-14.
Isobel Claire Gormley (2014) Mixtures of sparse infinite factor models. [Invited Oral Presentation], Working Group in Model Based Clustering, University College Dublin , 21-JUL-14 - 25-JUL-14.
Isobel Claire Gormley (2014) A dynamic probabilistic principal components model for the analysis of longitudinal metabolomic data. [Invited Oral Presentation], Integrative Epidemiology Unit Symposium: Statistical Methods for Epigenetic Change, University of Bristol, UK , 28-MAY-14 - 28-MAY-14.
Isobel Claire Gormley (2013) Variance estimation in model-based clustering. [Invited Oral Presentation], Working Group in Model Based Clustering, University of Bologna , 21-JUL-13 - 27-JUL-13.
Isobel Claire Gormley (2011) Discovering clustering structure in high-dimensional metabolomic data. [Invited Oral Presentation], International Statistical Institute World Statistics Congress, Dublin, Ireland , 22-AUG-11 - 26-AUG-11.
Isobel Claire Gormley (2010) A mixture of experts latent position cluster model for social network data. [Invited Oral Presentation], StatLearn: Challenging Problems in Statistical Learning, Paris, France , 11-JAN-10 - 15-JAN-10.
Isobel Claire Gormley (2010) Latent variable models for metabolomic data. [Invited Oral Presentation], Working Group in Model Based Clustering, Grenoble, France , 18-JUL-10 - 24-JUL-10.
Isobel Claire Gormley. (2008) Exploring clustering structure using covariates. [Invited Oral Presentation], Working Group in Model Based Clustering, University of Washington, Seattle, USA , 21-JUL-08 - 25-JUL-08.
Isobel Claire Gormley. (2008) Mixture models, clustering and covariates. [Invited Oral Presentation], ERCIM Working Group on Computing and Statistics, University of Neuchatel, Switzerland , 19-JUN-08 - 21-JUN-08.
Isobel Claire Gormley. (2007) Mixtures of experts models. [Invited Oral Presentation], Working Group in Model Based Clustering, Trinity College Dublin, Ireland , 22-JUL-07 - 28-JUL-07.
Isobel Claire Gormley. (2005) Latent Space Models for Irish Voting Data. [Invited Oral Presentation], Working Group in Model Based Clustering, Seattle, USA , 18-JUL-05 - 22-JUL-05.

Committees

Committee : Management Committee of COST action CA15109: COSTNET.
Committee : Local Organising Committee of the 2017 Conference on Applied Statistics in Ireland.
Committee : Scientific Programme Committee and Local Organising Committee of the 2014 Working Group in Model Based Clustering.
Committee : Scientific Programme Committee and Local Organising Committee for YSI 2011.
Committee : International Statistical Institute Young Statisticians' Committee.
Committee : Scientific Programme Committee and Local organising committee for the 2011 International Statistical Institute World Statistics Congress.
Committee : Local Organising Committee of the 2009 Conference on Applied Statistics in Ireland.
Committee : Scientific Programme Committee and Local Organising Committee of the 2009 Statistical Methods for the Analysis of Network Data Meeting.
Committee : Irish Statistical Association Executive Committee.
Committee : Young Statisticians' Section, Royal Statistical Society, UK.
Committee : Scientific Programme Committee and Local Organising Committee of the 2007 Working Group in Model Based Clustering.
Committee : Local Organising Committee of the 2005 Young Statisticians' Meeting.
 

Education

Year 2003 Institution: Trinity College Dublin
Qualification: BA (Mod) Subject:
Year 2007 Institution: Trinity College Dublin
Qualification: PhD Subject:
   

Outreach Activities

Associate Editor for the Annals of Applied Statistics 

Referee for:

  • Journal of the American Statistical Association
  • Annals of Applied Statistics
  • Statistics and Computing
  • Computational Statistics and Data Analysis
  • Statistics in Medicine
  • Chemometrics and Intelligent Laboratory Systems
  • Journal of Statistical Planning and Inference
  • Journal of Classification
  • Journal of Statistical Software
  • The R Journal
  • British Journal of Mathematical and Statistical Psychology
  • Neurocomputing
  • Food quality and preference
  • PLOS ONE
  • Journal of Near Infrared Spectroscopy
  • Statistics and its Interface
  • Biometrics

   

Publications

 

Book Chapters

Gormley, I.C. and Fruhwirth-Schnatter, S. (2017) 'Mixtures of experts' In: Celeux, G., Fruhwith-Schnatter, S. and Robert, C (eds). Handbook of mixture analysis. USA: CRC Press (Taylor & Francis Group). Available Online [Details]
Gormley, I.C. and Murphy, T.B. (2014) 'Mixed membership models for rank data: investigating structure in Irish voting data' In: Airoldi, E., Blei, D. Erosheva, E., Fienberg, S (eds). Handbook of Mixed Membership Models. Boca Raton, FL: CRC Press. , pp.297-320 Available Online Link to full text [Details]
McParland, D. and Gormley, I.C. (2013) 'Clustering ordinal data via latent variable models' In: Lausen, B., Van den Poel, D. and Ultsch, A (eds). Algorithms from and for nature and life: studies in classification, data analysis and knowledge organization. Switzerland: Springer. , pp.127-135 Available Online [DOI] [Details]
Gormley, I.C. and Murphy, T.B. (2011) 'Mixture of experts modelling with social science applications' In: Mengersen, K., Robert, C.P. and Titterington, D.M (eds). Mixture estimation and applications. New York: Wiley. , pp.91-110 [DOI] [Details]
Gormley, I.C. and Murphy, T.B. (2010) 'Clustering ranked preference data using sociodemographic covariates' In: Hess, S. and Daly, A (eds). Choice modelling: the state-of-the-art and the state-of-practice. United Kingdom: Emerald. , pp.543-569 [Details]
Gormley, I.C. and Murphy, T.B. (2007) 'Expectation maximization algorithm' In: Ruggeri, F., Kennett, R. and Faltin, F.W (eds). Encyclopedia of statistics in quality and reliability. Chichester: Wiley. , pp.621-626 [DOI] [Details]
 

Peer Reviewed Journals

McParland, D; Phillips, CM; Brennan, L; Roche, HM and Gormley, IC. (2017) 'Clustering high-dimensional mixed data to uncover sub-phenotypes: joint analysis of phenotypic and genotypic data'. Statistics in Medicine, . [DOI] [Details]
McParland, D. and Gormley, I.C. (2016) 'Model based clustering for mixed data: clustMD'. Advances in Data Analysis and Classification, 10 (2):155-169. [DOI] [Details]
O'Hagan, A., Murphy, T.B., Gormley, I.C., McNicholas, P. and Karlis, D. (2016) 'Clustering using the multivariate normal inverse Gaussian distribution'. Computational Statistics and Data Analysis, 93 :18-30. [DOI] [Details]
McParland, D., Gormley, I.C., McCormick, T.H., Clark, S.J., Kabudula, C.W. and Collinson, M.A. (2014) 'Clustering South African households based on their asset status using latent variable models'. Annals of Applied Statistics, 8 (2):747-776. Available Online [DOI] Link to full text [Details]
Nyamundanda, G., Gormley, I.C. and Brennan, L. (2014) 'A dynamic probabilistic principal components model for the analysis of longitudinal metabolomics data'. Journal of the Royal Statistical Society. Series C: Applied Statistics, . Available Online [DOI] Link to full text [Details]
Nyamundanda, G., Gormley, I.C., Fan,Y., Gallagher, W.M. and Brennan, L. (2013) 'MetSizeR: selecting the optimal sample size for metabolomic studies using an analysis based approach'. BMC Bioinformatics, . [DOI] Link to full text [Details]
O Hagan, A., Murphy, T.B. and Gormley, I.C. (2012) 'Computational aspects of fitting mixture models via the Expectation-Maximisation algorithm'. Computational Statistics and Data Analysis, 56 (12):3843-3864. [DOI] Link to full text [Details]
Morine M.J., Tierney, A.C., van Ommen, B., Daniel, H., Toomey, S., Gjelstad, I.M., Gormley, I.C., Pérez-Martinez, P., Drevon, C.A., López-Miranda, J. and Roche, H.M. (2011) 'Transcriptomic coordination in the human metabolic network reveals links between n-3 fat intake, adipose tissue gene expression and metabolic health'. PLoS Computational Biology, 7 (11):e1002223. [DOI] [Details]
Brennan, S.A., Harney, T., Queally, J. O'Connor McGoona, J., Gormley, I.C. and Shannon, F.J. (2011) 'Influence of weather variables in pain severity in end stage osteoarthritis'. International Orthopaedics, . [DOI] [Details]
Gormley, I.C. and Murphy, T.B. (2010) 'A mixture of experts latent position cluster model for social network data'. Statistical Methodology, 7 (3):385-405. [DOI] Link to full text [Details]
Morine, M.J., McMonagle, J., Toomey, S., Reynolds, C.M., Moloney, A.P., Gormley, I.C., O'Gaora, P. and Roche, H.M. (2010) 'Bi-directional gene set enrichment and canonical correlation analysis identify key diet-sensitive pathways and biomarkers of metabolic syndrome'. BMC Bioinformatics, 11 (1). [DOI] [Details]
Nyamundanda, G., Brennan, L and Gormley, I.C. (2010) 'Probabilistic principal component analysis for metabolomic data'. BMC Bioinformatics, 11 (571). [DOI] [Details]
Gormley, I.C. and Murphy, T.B. (2009) 'A grade of membership model for rank data'. Bayesian Analysis, 4 (2):265-296. [DOI] Link to full text [Details]
Brennan, S.A., Harty, J.A., Gormley, I.C. and O'Rourke, S.K. (2009) 'Comparison of acetabular reamings during hip resurfacing versus uncemented total hip arthroplasty'. Orthopaedic surgery, 17 (1):42-46. Available Online [Details]
Gormley, I.C. and Murphy, T.B. (2008) 'Exploring voting blocs within the Irish electorate: a mixture modelling approach'. Journal of the American Statistical Association, 103 :1014-1027. [DOI] Link to full text [Details]
Gormley, I.C. and Murphy, T.B. (2008) 'A mixture of experts model for rank data with applications in election studies'. Annals of Applied Statistics, 2 (4):1452-1477. Available Online [DOI] Link to full text [Details]
Gormley, I.C. and Murphy, T.B. (2006) 'Analysis of Irish third-level college applications data'. Journal of the Royal Statistical Society. Series A, (Statistics in Society), 169 (2):361-380. [DOI] Link to full text [Details]
Gormley, I.C. and Murphy, T.B. (2006) 'A latent space model for rank data'. Lecture Notes in Computer Science, 4503 . [DOI] [Details]
 

Conference Publications

McParland, D. and Gormley, I.C. (2015) Clustering mixed data via latent variable models . In: Friedl, H. and Wagner, H eds. 30th international workshop on statistical modelling [Details]
                                                                                           

Comment

McParland, D. and Gormley, I.C. (2013) Discussion of `How to find an appropriate clustering for mixed-type variables with application to socio-economic stratification'. Comment [DOI] [Details]
Gormley, I.C. and Murphy, T.B. (2007) Discussion of `Model-based clustering for social networks'. Comment [DOI] [Details]
Gormley, I.C. (2007) Vote of thanks for `Association rule analysis of CAO data'. . Comment Available Online [Details]
Gormley, I.C. and Murphy, T.B. (2006) Discussion of `Estimating the integrated likelihood via posterior simulation using the harmonic mean identity'. Comment Available Online [Details]
Murphy, T.B. and Gormley I.C. (2006) Discussion of `Bayesian paleoclimate reconstruction'. Comment [DOI] [Details]
                   

Research

Research Interests

My research interests include latent variable models, mixture models, rank data models, computational statistics and Bayesian statistics. My research to date has developed statistical methods which have been applied in a wide range of fields, varying from social science to metabolomics to orthopaedics.

Much of my work is computationally intensive and involves working with high-dimensional data sets. The development of statistical approaches to dealing with such dimensionality issues is of interest.

My current research grants support work in the areas of model-based clustering and classification for high-dimensional data of mixed type.

Research Projects

Sponsor : University College Dublin (UCD)
Title : OBRSS Research Support Scheme
Start Date / End Date : 01-NOV-16 / 31-OCT-19
Sponsor : Teagasc
Title : Genomic evaluations for economically important traits in cattle using alternative statistical approaches
Start Date / End Date : 01-SEP-16 / 31-AUG-20
Sponsor : Enterprise Ireland (EI)
Title : PreNatStat: Towards understanding the influence of our prenatal environment: appropriate statistical models for multivariate, multi-way, mixed type data
Start Date / End Date : 05-JUL-16 / 04-APR-17
Sponsor : Science Foundation Ireland (SFI)
Title : Model-based Statistical Methods for Mixed-Mode Metabolomic Data
Start Date / End Date : 01-SEP-09 / 31-AUG-14
Sponsor : Science Foundation Ireland (SFI)
Title : International Statistical Institute Meeting of Young Statisticians
Start Date / End Date : 01-DEC-10 / 30-NOV-11
Sponsor : Science Foundation Ireland (SFI)
Title : 29th Conference on Applied Statistics in Ireland
Start Date / End Date : 01-JAN-09 / 30-JUN-09

Recent Postgraduates

Dr. Damien McParland (2014)
Model-based clustering methods for data of mixed type.  
Principal supervisor.
Now: Assistant Professor/Lecturer in University College Dublin.

Dr. Gift Nyamundanda (2012)
Novel Model Based Statistical Methods for Metabolomic Data.
Principal supervisor
Now: The Institute of Cancer Research UK.

Dr. Adrian O'Hagan (2012)

Topics in model-based clustering and classification.
Principal supervisor. 
Now: Assistant Professor/Lecturer in University College Dublin.

Dr. Melissa Morine (2011)
A nutritional systems biology approach to clarifying molecular pathology of metabolic syndrome, diabetes and transcriptomic effects of dietary fatty acid variation.
Co-supervisor.
Now: The Microsoft Research - University of Trento Centre for Computational and Systems Biology 

Current Postgraduate Students

Keefe Murphy, Doctor of Philosophy (PhD)   -   Thesis Supervisor
Yuxin Bai, Doctor of Philosophy (PhD)   -   Thesis Supervisor
Patrick Staunton, Doctor of Philosophy (PhD)   -   Thesis Co-Supervisor
Chiara Cotroneo, Doctor of Philosophy (PhD)   -   Thesis Co-Supervisor

Teaching

 

Modules Coordinated

201600   STAT40620     Statistics & Actuarial Science: Data Programming
201600   STAT40180     Statistics & Actuarial Science: Data Programming
       

Collaborators

Internal Collaborators

  • Prof. Brendan Murphy, School of Mathematics and Statistics.
  • Dr. Damien McParland, School of Mathematics and Statistics.
  • Dr. Adrian O'Hagan, School of Mathematical Sciences. 
  • Prof. Lorraine Brennan, School of Agriculture and Food Science.
  • Prof. Helen Roche, School of Public Health, Physiotherapy and Sports Science.
  • Prof. Brendan Loftus, Conway Institute of Biomolecular and Biomedical Research.


External Collaborators

  • Prof. Sylvia Fruhwirth-Schnatter, Vienna University of Economics and Business, Austria.
  • Prof. Cinzia Viroli, University of Bologna, Italy.
  • Prof. Luca Scrucca, University of Perugia, Italy.
  • Prof. Kate Tilling, University of Bristol, UK.
  • Prof. Tyler McCormick, University of Washington, Seattle, USA.
  • Prof. Sam Clark, University of Washington, Seattle, USA.
  • Chodziwadziwa Whiteson Kabudula, University of the Witwatersrand, South Africa.
  • Dr. Catherine Phillips,  University College Cork, Ireland.
  • Dr. Nyamundanda Gift, Cancer Research Institute, UK.
  • Prof. Paul McNicholas, McMaster University, Canada.
  • Prof. Dimitris Karlis, University of Athens, Greece.
  • Dr. Steve Brennan, Department of Orthopaedics, Cappagh Hospital.