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Dr. Belinda Hernández
Senior Research Fellow, Medical Gerontology


I am a Senior Research Fellow with TILDA. My 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. I work across a number of teams in TILDA such as the Neuro Cognitive, Neuro Cardiovascular, Frailty and Resilience and the Bioengineering groups.

Prior to TILDA I was an Assistant Professor in Statistics in the School of Mathematics and Statistics UCD (2015-2017) and completed my PhD in Bayesian methods for Proteomic Biomarker development and validation in UCD in 2015. I also have 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).

Publications and Further Research Outputs

Peer-Reviewed Publications

Claire Tonry, Ken McDonald, Mark Ledwidge, Belinda Hernandez, Nadezhda Glezeva, Cathy Rooney, Brian Morrissey, Stephen R Pennington, John A Baugh, Chris J Watson, Multiplexed measurement of candidate blood protein biomarkers of heart failure, ESC heart failure, 2021 Journal Article, 2021 DOI

Mc Ardle A, Kwasnik A, Szenpetery A, Jones M, Hernandez B, Meenagh M, Parnell A, de Jager W, de Roock S, Fitzgerald O, Pennington S , Identification and Evaluation of Serum Protein Biomarkers Which Differentiate Psoriatic from Rheumatoid Arthritis., Arthritis & Rheumatology, 2021 Journal Article, 2021 URL

Roman Romero-Ortuno, Peter Hartley, James Davis, Silvin P. Knight, Rossella Rizzo, Belinda Hernández, Rose Anne Kenny, Aisling M. O'Halloran, 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 TARA - Full Text DOI

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

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, Frontiers in Human Neuroscience, section Cognitive Neuroscience, 14, (261), 2020 Journal Article, 2020 DOI TARA - Full Text URL

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), Age and Ageing, 2020 Journal Article, 2020 TARA - Full Text DOI

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 DOI

Darragh Whelan, Eamonn Delahunt, Martin O'Reilly, Belinda Hernandez, Brian Caulfield, Determining Interrater and Intrarater Levels of Agreement in Students and Clinicians When Visually Evaluating Movement Proficiency During Screening Assessments, Physical therapy, 99, (4), 2019, p478-486 Journal Article, 2019

Belinda Hernández, Annalisa Setti, Rose Anne Kenny, Fiona N Newell, Individual differences in ageing, cognitive status, and sex on susceptibility to the sound-induced flash illusion: A large-scale study., American Psychological Association, 34, (7), 2019, p978 Journal Article, 2019

IM Oliveira, B Hernández, RA Kenny, RB Reilly, 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), 2019, p2466-2469 Journal Article, 2019

BA McGivney, B Hernandez, LM Katz, DE MacHugh, SP McGovern, AC Parnell, HL Wiencko, EW Hill, A genomic prediction model for racecourse starts in the Thoroughbred horse, Animal genetics, 50, (4), 2019, p347 - 357 Journal Article, 2019

Hernández B, Reilly R, Kenny RA, Treat people not diseases: A pattern analysis of disease interactions in multimorbidities. Results from The Irish Longitudinal study in Ageing, Scientific Reports, 9, (1), 2019, p1 - 12 Journal Article, 2019

Faekah Gohar, Angela McArdle, Melissa Jones, Niamh Callan, Belinda Hernandez, Christoph Kessel, Maria Miranda-Garcia, Miha Lavric, Dirk Holzinger, Carolin Pretzer, Elke Lainka, Sebastiaan J Vastert, Sytze de Roock, Oliver FitzGerald, Stephen R Pennington, Dirk Foell, Molecular signature characterisation of different inflammatory phenotypes of systemic juvenile idiopathic arthritis, Annals of the rheumatic diseases, 78, (8), 2019, p1107 - 1113 Journal Article, 2019

Belinda Hernández, Adrian E Raftery, Stephen R Pennington, Andrew C Parnell, Bayesian additive regression trees using Bayesian model averaging, Statistics and computing, 28, (4), 2018, p869-890 Journal Article, 2018

Kévin Rue-Albrecht, Paul A McGettigan, Belinda Hernández, Nicolas C Nalpas, David A Magee, Andrew C Parnell, Stephen V Gordon, David E MacHugh, GOexpress: an R/Bioconductor package for the identification and visualisation of robust gene ontology signatures through supervised learning of gene expression data, BMC bioinformatics, 17, (1), 2016, p126 Journal Article, 2016

Ademowo OS, Hernandez B, Collins E, Rooney C, Fearon U, van Kuijk AW, Tak PP, Gerlag DM, FitzGerald O, Pennington SR, Discovery and confirmation of a protein biomarker panel with potential to predict response to biological therapy in psoriatic arthritis., 2016 Journal Article, 2016

Hernández B, Parnell A.C. and Pennington S.R. , Bayesian methods for the discovery of proteomic biomarkers, EUPA Open Proteomics, 9, 2015, p54-64 Journal Article, 2015

S Ramm, B Morissey, B Hernandez, C Rooney, SR Pennington, A Mally, 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, 2015, p100-111 Journal Article, 2015

Doubly Robust Missing Data in Clinical Trials in, Clinical Trials with Missing Data: A Guide for Practitioners, pp 370-407, London, John Wiley & Sons, Ltd, 2014, pp279-315 , [Belinda Hernández, Ilya Lipkovich, Michael O'Kelly] Book Chapter, 2014

Belinda Hernández, Andrew Parnell, Stephen R Pennington, Why have so few proteomic biomarkers "survived" validation?(Sample size and independent validation considerations), Proteomics, 14, (13), 2014, p1587-1592 Journal Article, 2014

Protein Quantification by MRM for Biomarker Validation in, New Developments in Mass Spectrometry: Quantative Proteomics, Royal Society of Chemistry, 2013, pp279-315 , [L. Staunton, T. Clancy, C. Tonry, S. Ademowo, M. Dharsee, B. Hernandez, K. Evans, Parnell A, R.W. Watson, S.R. Pennington] Book Chapter, 2013

Non-Peer-Reviewed Publications

Lorna Roe, Christine McGarrigle, Belinda Hernández, Aisling O'Halloran, Siobhan Scarlett, Mark Ward, Charles Normand, Rose Anne Kenny, PATTERNS IN HEALTHCARE UTILISATION: RESULTS FROM WAVE 5 OF THE IRISH LONGITUDINAL STUDY ON AGEING., 2020 Report, 2020

Kenny, R.A., Hernandez, B., O'Halloran, A., Moriarty, F., McGarrigle, C., TILDA report to inform demographics for over 50s in Ireland for COVID-19 crisis, Dublin, The Irish Longitudinal Study on Ageing, Trinity College Dublin, March, 2020 Report, 2020 DOI

Belinda Hernández, Donal Sexton, Frank Moriarty, Niall Cosgrave, Aisling O'Halloran, Christine McGarrigle, Siobhan Scarlett and Rose Anne Kenny, HIGH-RISK CATEGORIES FOR COVID-19 AND THEIR DISTRIBUTION BY COUNTY IN REPUBLIC OF IRELAND-EVIDENCE FROM THE TILDA STUDY, 2020 Report, 2020

Research Expertise


  • Title
    • High Dimensional Forest Models for Genetic Performance Evaluation
  • Summary
    • Role Co-Applicant Awarded 135,000eur for the development and commercialisation of proprietary algorithms and software solutions for creating and improving genomic tests and breeding programmes for thoroughbred animals. This resulted in being awarded the "Venture Launch Start Up of the Year Award" for our commercialisaton venture Prolego Scientific.
  • Funding Agency
    • Enterprise Ireland
  • Date From
    • 22/2/17
  • Date To
    • 22/2/19
  • Title
    • FRAILMatics: Mathematical research and big data analytics towards the development of the next generation of transdisciplinary diagnostics for the assessment of physiological vulnerability in older adults: challenge-based disruptive technology initiative
  • Summary
    • Role: Coapplicant, 1,200,000eur Summary: Increasing numbers of older people are living with frailty. Frailty is defined as dysregulation in multiple physiological systems andconsequent reduction in physiological reserve. A frail person is vulnerable to decompensate and experience adverse healthoutcomes in the face of stressors. The higher the number of physiological systems that are dysregulated, the less physiologicalreserve. Despite consensus in the concept, frailty operationalisations in clinical practice are limited and a universally accepteddiagnostic method does not exist. However, there is evidence that early recognition of frailty could prevent or delay adverseoutcomes. The Irish Longitudinal Study on Ageing (TILDA) has collected detailed information on real-time functioning ofphysiological systems, with and without challenge: neurological (choice reaction time, sustained attention to response task,cerebral blood flow before and after standing), cardiovascular (continuous blood pressure and heart rate, before and afterstanding), and locomotor (gait with and without cognitive challenges). For this research, TILDA will offer the opportunity to hostinfrastructure and capacity in mining, processing and modelling its largely unexplored complex and computationally expensive "bigdata". We aim to discover new frailty signals and models, validate them in clinical cohorts, and lead towards new diagnostic toolsto help tackle the ageing challenge.
  • Funding Agency
    • SFI
  • Date From
    • 01/12/2019
  • Date To
    • 01/12/2024
  • Title
    • 'Investigating novel biomarkers of cardiac arrhythmia and associated risk of stroke and heart failure
  • Summary
    • Role: Coapplicant Amount: 60,000 GBP
  • Funding Agency
    • Northern Ireland Chest
  • Date From
    • 1/9/2020
  • Date To
    • 1/3/2022


Awards and Honours

Finalist European Data Science and AI Awards 2018

Venture Launch Start Up of the Year Award (20,000eur) 2017