Dr Katarina Domijan

Mathematics and Statistics, Hamilton Institute

Lecturer

Logic House
210
(01) 7083374

Biography

2008-present: Lecturer in Statistics, Department of Mathematics and Statistics, Maynooth University.
2004-2008: PhD in Statistics,
Trinity College Dublin, Ireland.
2002-2004: Statistician, Bioinformatics Mathematics and Statistics Group, AgResearch, New Zealand
2001-2002: Master of Computing and Mathematical Sciences (MCMS) with first-class honours, University of Waikato, New Zealand.
2000 Bachelor of Science (BSc) in Mathematics, University of Auckland, New Zealand

Other


2015-present: Associate Editor for The Journal of Computational and Graphical Statistics
2014-2016: Member of the International Space Science Institute (ISSI) International Team in Space Sciences: Improving the Reliability of Solar Eruption Predictions to Facilitate the Determination of Targets-of-Opportunity for Instruments with a Limited Field-of-View.

2013 Member of the organising committee for Conference on Applied Statistics Ireland (CASI) 2013.

Research Interests

Bayesian applications to data analysis, multivariate methods, machine learning, kernel methods, variable selection, statistical computing, data visualization, statistical consulting.

Research Interests

My research interests lie in applying Bayesian methods of statistical inference to analyze data of complex structure that arise in a variety of applications. In particular, I am interested in Bayesian modelling of classification problems in data with large feature spaces. One of the most interesting aspects of modelling high-dimensional data is feature selection. This is a challenging problem and I am interested in developing novel approaches to solve it.

Book Chapters

  Year Publication
2003 'Modeling thermal destruction of viruses and bacterial cells'
Domijan K. & Cox N. (2003) 'Modeling thermal destruction of viruses and bacterial cells' In: Collaborations, Designs and Explorations: A Festschrift for Peter Johnstone. New Zealand: Mosgiel, N.Z. : Statistics and Bioinformatics Group, AgResearch. [Details]

Peer Reviewed Journals

  Year Publication
2016 'Conditional Visualization for Statistical Models: An Introduction to the condvis Package in R'
O’Connell M., Hurley C.B., Domijan K. (2016) 'Conditional Visualization for Statistical Models: An Introduction to the condvis Package in R'. Journal of Statistical Software, [Details]
2016 'The persistence of sperm and the development of time since intercourse (TSI) guidelines in sexual assault cases at Forensic Science Ireland, Dublin, Ireland'
Casey D., Domijan K., Mac Neill S., O’Connell D. & Ryan J. (2016) 'The persistence of sperm and the development of time since intercourse (TSI) guidelines in sexual assault cases at Forensic Science Ireland, Dublin, Ireland'. Journal of Forensic Sciences, [Details]
2015 'An exploration of EEG features during recovery following stroke - Implications for BCI-mediated neurorehabilitation therapy'
Leamy D.;Kocijan J.;Domijan K.;Duffin J.;Roche R.;Commins S.;Collins ;Ward T. (2015) 'An exploration of EEG features during recovery following stroke - Implications for BCI-mediated neurorehabilitation therapy'. Journal of NeuroEngineering and Rehabilitation, 11 (1) [DOI] [Details]
2014 'Applications of Raman spectroscopy to the urinary bladder for cancer diagnostics'
Kerr L. T., Domijan K., Cullen I.& Hennelly B. M. (2014) 'Applications of Raman spectroscopy to the urinary bladder for cancer diagnostics'. Photonics and Lasers in Medicine, 3 [Details]
2011 'Bayesian kernel projections for classification of high dimensional data'
Domijan K. & Wison S.P. (2011) 'Bayesian kernel projections for classification of high dimensional data'. Statistics and Computing, 21 (2):203-216 [DOI] [Details]
2006 'Semi-mechanistic modelling in nonlinear regression: a case study (with discussion)'
Domijan K., Jorgensen M.A. & Reid J.B. (2006) 'Semi-mechanistic modelling in nonlinear regression: a case study (with discussion)'. AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS, 48 :373-391 [Details]

Conference Publications

  Year Publication
2016 On the effect of experimental noise on the classification of biological samples using Raman micro-spectroscopy
Barton S.J., Kerr L.T., Domijan K., Hennelly B.M. (2016) On the effect of experimental noise on the classification of biological samples using Raman micro-spectroscopy , Proc. SPIE 9887, Biophotonics: Photonic Solutions for Better Health Care V, 98873A [Details]
2014 A review of Raman for multicomponent analysis
Barton S.J., Hennelly B. M., Ward T, Domijan K & Lowry J (2014) A review of Raman for multicomponent analysis Proc. SPIE 9129, Biophotonics: Photonic Solutions for Better Health Care IV, 91290C [DOI] [Details]
2014 Classification of bladder cancer cell lines using Raman spectroscopy: a comparison of excitation wavelength, sample substrate and statistical algorithms
Kerr L. T. , Adams A. , O'Dea S. , Domijan K., Cullen I. & Hennelly B. M. (2014) Classification of bladder cancer cell lines using Raman spectroscopy: a comparison of excitation wavelength, sample substrate and statistical algorithms Proc. SPIE 9129, Biophotonics: Photonic Solutions for Better Health Care IV, 91290E [DOI] [Details]
2005 A Bayesian Method for Automatic Landmark Detection in Segmented Images
Domijan K. & Wilson S.P. (2005) A Bayesian Method for Automatic Landmark Detection in Segmented Images ICML workshop on Machine Learning Techniques for Processing Multimedia Content [Details]
2004 Can Density Sorting at Harvest Segregate Mixed Maturity of Feijoa?
Clark C.J., White A., Woolf A. & Domijan K. (2004) Can Density Sorting at Harvest Segregate Mixed Maturity of Feijoa? Acta Hort. (ISHS) , pp.93-98 [Details]

Thesis

  Year Publication
2009 Bayesian Kernel Classification for High Dimensional Data with Variable Selection.
Domijan K. (2009) Bayesian Kernel Classification for High Dimensional Data with Variable Selection. Trinity College Dublin: Thesis [Details]

Recent Postgraduates

  Graduation Student Name University Degree Thesis
2017 Mark O’Connell Maynooth University PhD Conditional Visualisation for Statistical Models