Dr. Belinda Hernández
Dr. Belinda Hernández is a Senior Research Fellow with TILDA. Her research interests include Bayesian models and machine learning methods for use on high dimensional data such as proteomic and genomic data as well as multivariate and predictive modelling. She works across a number of teams in TILDA such as the Neuro Cognitive, Neuro Cardiovascular, Frailty and Resilience and the Bioengineering groups.
Prior to TILDA Belinda was an Assistant Professor in Statistics in the School of Mathematics and Statistics UCD (2015-2017) and completed her PhD in Bayesian methods for Proteomic Biomarker development and validation in UCD in 2015. Belinda also has an MSc in Applied Statistics from Oxford University (first class honours) and a BA Mod in Management Science and Information Systems from Trinity College Dublin (first class honours).
Tonry C, McDonald K, Ledwidge M ,Hernández B, Glezeva, N, Rooney, C, Morrissey, B, Pennington SR, Baugh JA, Watson, CJ. Multiplexed measurement of candidate blood protein biomarkers of heart failure. Journal Article 2021; DOI: 10.1002/ehf2.13320 ESC Heart Failure(2021)
Romero-Ortuno, R, Hartley, P, Davis, J, Knight, SP, Rizzo R, Hernández B, Kenny RA, O'Halloran AM. Transitions in frailty phenotype states and components over 8 years: evidence from The Irish Longitudinal Study on Ageing. Archives of Gerontology and Geriatrics 2021 Journal Article, 2021 DOI: 10.1016/j.archger.2021.104401 TARA - Full Text .
Moloney D, O'Connor J, Newman L, Scarlett S, Hernandez B, Kenny RA, Romero-Ortuno R. Clinical clustering of eight orthostatic haemodynamic patterns in The Irish Longitudinal Study on Ageing (TILDA). DOI: 10.1093/ageing/afaa174 Age and Ageing 2020 Journal Article 2020 TARA - Full Text .
O'Connor JD, O'Connell MD, Romero-Ortuno R, Hernandez B, Newman L, Reilly R, Kenny RA, Knight SP. Functional Analysis of Continuous, High-Resolution Measures in Ageing Research: A Demonstration using Cerebral Oxygenation Data from The Irish Longitudinal Study on Ageing. DOI: 10.3389/fnhum.2020.00261.Frontiers in Human Neuroscience Cognitive Neuroscience, 14, (261), 2020 Journal Article, 2020 TARA - Full Text.
Prado EB, O'Neill E, Hernandez B, Parnell AC, Moral RA, Discussion: Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding and Heterogeneous Effects, Bayesian Analysis 15, (3), 2020, p955 - 1056 Journal Article, 2020
McCrory C, Fiorito G, Hernandez B, Polidoro S, O'Halloran AM, Hever A, Ni Cheallaigh C, Lu AT, Horvath S, Vineis P, Kenny RA, GrimAge outperforms other epigenetic clocks in the prediction of age-related clinical phenotypes and all-cause mortality. The Journals of Gerontology. Series A, Biological sciences and medical sciences 2020 Journal Article, 2020
Hernández B, Setti A, Kenny RA, Newell FN, Individual differences in ageing, cognitive status, and sex on susceptibility to the sound-induced flash illusion: A large-scale study (2019) Psychology and Aging, 37(7) 978
Hernández B, Reilly RB, Kenny RA, Investigation of multimorbidity and prevalent disease combinations in older Irish adults using network analysis and association rules (2019) Scientific reports 9 (1), 1-12
BA McGivney BA, Hernández B, Katz LM, MacHugh DE, McGovern SP, Parnell AC, Wiencko HL, Hill EW, A genomic prediction model for racecourse starts in the Thoroughbred horse, Animal genetics 50 (4), 347-357
Gohar F, McArdle A, Jones M, Callan N, Hernández B, Kessel C, Miranda-Garcia M, Lavric M, Holzinger D, Pretzer C, Lainka E, Vastert SJ, de Roock S, FitzGerald O, Pennington SR, Foell D, Molecular signature characterisation of different inflammatory phenotypes of systemic juvenile idiopathic arthritis, (2019) Annals of the rheumatic diseases 78 (8), 1107-1113
Oliveira IM, Hernández B, Kenny RA, Reilly RB (2019), Automatic Disability Categorisation based on ADLs among Older Adults in a Nationally Representative Population using Data Mining Methods, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2466-2469
Whelan D, Delahunt E, O'Reilly M, Hernández B, Caulfield B,Determining Interrater and Intrarater Levels of Agreement in Students and Clinicians When Visually Evaluating Movement Proficiency During Screening Assessments (2019), Physical therapy 99 (4), 478-486
Hernández B, Raftery A.E., Pennington S.R. and Parnell A.C., 2016, BART-BMA Bayesian Additive Regression Trees using Bayesian Model Averaging, 2017, Statistics and Computing, pp1-22
Rue-Albrecht K, McGettigan,P.A.,Hernández B, Parnell A.C., Gordon S.V. and MacHugh D.E., GOexpress: Visualise microarray and RNAseq data using gene ontology annotations, 2016, BMC Bioinformatics, 17 (1), pp 1
Hernández B, Parnell A.C. and Pennington S.R., Bayesian methods for the discovery of proteomic biomarkers, 2015, EuPA open Proteomics, 9, pp 54-64
Hernández B, Parnell A.C., Pennington S.R., Why have so few proteomic biomarkers ”survived” validation? (Sample size and independent validation considerations),2014, Proteomics, 14 (13-14), pp 1587-1592
Ademowo OS, Collins E, Hernández, B, Rooney C, van Kuijk A, Gerlag D, Tak PP, Fearon U, FitzGerald O and Pennington SR, Discovery and Confirmation of a Protein Biomarker Panel which Predicts Response to anti-TNF-alpha (Adalimumab) Therapy in Psoriatic Arthritis, Annals of Rheumatic Diseases, 2015, 75(1), pp 234-241
Ramm S, Morissey B, Hernández B, Rooney C, Pennington SR and Mally A, Application of proteomics to identify deregulated proteins associated with idiosyncratic liver toxicity in a rat model of LPS/Diclofenac co-administration, 2015, Journal of Toxicology, 331, pp 100-111
Hernández B, Lipkovich,I and O’Kelly M, 2014, Chapter 8:Doubly Robust Missing Data in Clinical Trials in Clinical Trials with Missing Data: A Guide for Practitioners, pp 370-407, Wiely, London
Staunton L, Clancy T, Tonry C, Hernández B, Ademowo S, Dharsee M, Evans K, Parnell AC, Tasken K, Watson W and Pennington S.R., 2014, Chapter 13:Protein Quantification by MRM for Biomarker Validation in New Developments in Mass Spectrometry, Quantatative Proteomics, pp 279-315, Royal Society Chemistry
2018 Finalist European Data Science and AI Awards
2017 UCD Venture Launch Start Up of the Year Award