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Belinda Hernandez

Lecturer/Assistant Professor

School Of Mathematics & Statistics

Tel:
Email: belinda.hernandez@ucd.ie

Biography

2015-Present Lecturer in Statistics, UCD
2011 - 2015 PhD Statistics (Supervisors Dr Andrew Parnell and Prof Stephen Pennington) School of Mathematical Sciences and Conway Institute of Biomedical and Biomolecular research University College Dublin
2009 - 2010     MSc in Applied Statistics University of Oxford
2002-2006       BA Mod in Management Science and Information Systems Studies (MSISS) Trinity College Dublin 

Publications

 

Book Chapters

Belinda Hernández,Ilya Lipkovich, Michael O'Kelly (2014) 'Double Robust Estimation' In: Michael O'Kelly and Bodhana Ratitch (eds). Clinical Trials with Missing data: A Guide for practitioners. London: Wiley. , pp.369-408 [Details]
Lisa Staunton et al (2014) 'Protein Quantification by MRM for Biomarker Validation' In: Claire E Eyers, Simon Gaskell (eds). Quantatative Proteomics. Cambridge: Royal Society Chemistry. , pp.279-315 [Details]
 

Peer Reviewed Journals

Hernández B, Parnell AC, Pennington SR, (2014), Proteomics (2014) 'Why have so few proteomic biomarkers ¿survived¿ validation? (Sample size and independent validation considerations)'. Proteomics, 14 (13-14):1587-1592. [Details]
Belinda Hernández, Andrew C Parnell, Stephen R Pennington (2015) 'Bayesian Methods for proteomic biomarker development'. EuPA Open Proteomics, . [Details]
Kevin Rue-Albrecht, Paul A. McGettigan, Belinda Hernández, Andrew C Parnell, Stephen V Gordon, David E MacHugh (2016) 'GOexpress: Visualise microarray and RNAseq data using gene ontology annotations'. BMC Bioinformatics, 17 (1):1. [Details]
Ademowo OS, Hernandez B;Collins E;Rooney C;Fearon U;van Kuijk AW;Tak PP;Gerlag DM;FitzGerald O;Pennington SR (2015) 'Discovery and confirmation of a protein biomarker panel with potential to predict response to biological therapy in psoriatic arthritis'. Annals of the Rheumatic Diseases, 75 (1):234-241. [DOI] [Details]
Ramm S, Morissey B;Hernandez B;Rooney C;Pennington SR;Mally A (2015) 'Application of a discovery to targeted LC-MS proteomics approach to identify deregulated proteins associated with idiosyncratic liver toxicity in a rat model of LPS/diclofenac co-administration'. Toxicology, 331 :100-111. [DOI] [Details]
                                                                                             

Research

Research Interests

My research interests include Bayesian analysis, classification, machine learning and methods for dealing with missing data. To date I have been researching model based machine learning techniques to find predictive biomarkers in proteomic data with a focus on prostate cancer and arthritis and also researching current and new techniques for dealing with missing data. 
 
Grants: 
Sponser: Enterprise Ireland (EI) 
Title:  High Dimensional Forest Models for Genetic Performance Evaluation
Start Date/End Date: 1 Oct 2016 - 1 Oct 2018