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Department of Applied Mathematics

Dr Ivan Olier-Caparroso

Dr Ivan Olier-Caparroso

Telephone: 0151 231 2155

Biography

I am a Senior Lecturer in Data Science, having been appointed in 2018. My research interests are in statistical and machine learning methods, with focus on modelling large-scale, highly structured and/or relational data (multivariate time series, graphs, networks, etc). The usual application domains of my research are drug development, bioinformatics, and healthcare.

In 2008, I was awarded a PhD in Artificial Intelligence from the Technical University of Catalonia, Spain. Since then I worked as a postdoctoral researcher at the Autonomous University of Barcelona and at the University of Manchester, followed by a lectureship in Health Informatics at the University of Keele and in Computer Science at Manchester Metropolitan University.

Degrees

2008, Technical University of Catalonia, Spain, PhD, Artificial Intelligence
2005, Technical University of Catalonia, Spain, MSc, Artificial Intelligence
1998, National University of Colombia, Colombia, BEng (Hons), Mechanical Engineering

Publications

Journal article

Olier I, Carr M, Curzen N, Ludman P, Baumbach A, Kinnaird T, de Belder MA, Hildick-Smith D, Sirker A, Kwok CS, Rashid M, Nolan J, Kontopantelis E, Mamas MA. 2018. Changes in Periprocedural Bleeding Complications Following Percutaneous Coronary Intervention in The United Kingdom Between 2006 and 2013 (from the British Cardiovascular Interventional Society) American Journal of Cardiology, >DOI >Public Url

Olier I, Sirker A, Hildick-Smith DJR, Kinnaird T, Ludman P, De Belder MA, Baumbach A, Byrne J, Rashid M, Curzen N, Mamas MA. 2018. Association of different antiplatelet therapies with mortality after primary percutaneous coronary intervention Heart, >DOI >Public Url

Olier I, Sadawi N, Bickerton GR, Vanschoren J, Grosan C, Soldatova L, King RD. 2018. Meta-QSAR: a large-scale application of meta-learning to drug design and discovery Machine Learning, 107 :285-311 >DOI >Link >Public Url

Rashid M, Kwok CS, Gale CP, Doherty P, Olier I, Sperrin M, Kontopantelis E, Peat G, Mamas MA. 2017. Impact of co-morbid burden on mortality in patients with coronary heart disease, heart failure, and cerebrovascular accident: A systematic review and meta-analysis European Heart Journal - Quality of Care and Clinical Outcomes, 3 :20-36 >DOI >Public Url

Kwok CS, Hulme W, Olier I, Holroyd E, Mamas MA. 2017. Review of early hospitalisation after percutaneous coronary intervention International Journal of Cardiology, 227 :370-377 >DOI >Link >Public Url

Rashid M, Rushton CA, Kwok CS, Kinnaird T, Kontopantelis E, Olier I, Ludman P, De Belder MA, Nolan J, Mamas MA. 2017. Impact of Access Site Practice on Clinical Outcomes in Patients Undergoing Percutaneous Coronary Intervention Following Thrombolysis for ST-Segment Elevation Myocardial Infarction in the United Kingdom An Insight From the British Cardiovascular Intervention Society Dataset JACC: Cardiovascular Interventions, 10 :2258-2265 >DOI >Link >Public Url

Springate DA, Parisi R, Olier I, Reeves D, Kontopantelis E. 2017. rEHR: An R package for manipulating and analysing Electronic Health Record data PLoS ONE, 12 >DOI >Link >Public Url

Olier I, Springate DA, Ashcroft DM, Doran T, Reeves D, Planner C, Reilly S, Kontopantelis E. 2016. Modelling Conditions and Health Care Processes in Electronic Health Records: An Application to Severe Mental Illness with the Clinical Practice Research Datalink PLOS ONE, 11 >DOI >Link

Delgado-Goñi T, Ortega-Martorell S, Ciezka M, Olier I, Candiota AP, Julià-Sapé M, Fernández F, Pumarola M, Lisboa P, Arús C. 2016. MRSI-based molecular imaging of therapy response to temozolomide in preclinical glioblastoma using source analysis NMR in Biomedicine, 29 :732-743 >DOI >Public Url

Reilly S, Olier I, Planner C, Doran T, Reeves D, Ashcroft DM, Gask L, Kontopantelis E. 2015. Inequalities in physical comorbidity: a longitudinal comparative cohort study of people with severe mental illness in the UK BMJ OPEN, 5 >DOI >Link

Kontopantelis E, Olier I, Planner C, Reeves D, Ashcroft DM, Gask L, Doran T, Reilly S. 2015. Primary care consultation rates among people with and without severe mental illness: a UK cohort study using the Clinical Practice Research Datalink BMJ OPEN, 5 >DOI >Link

Mocioiu V, Ortega-Martorell S, Olier I, Jablonski M, Starcukova J, Lisboa P, Arus C, Julia-Sape M. 2015. From raw data to data-analysis for magnetic resonance spectroscopy - the missing link: jMRUI2XML BMC BIOINFORMATICS, 16 >DOI >Link >Public Url

Reeves D, Springate DA, Ashcroft DM, Ryan R, Doran T, Morris R, Olier I, Kontopantelis E. 2014. Can analyses of electronic patient records be independently and externally validated? The effect of statins on the mortality of patients with ischaemic heart disease: a cohort study with nested case-control analysis BMJ OPEN, 4 >DOI >Link

Springate DA, Kontopantelis E, Ashcroft DM, Olier I, Parisi R, Chamapiwa E, Reeves D. 2014. ClinicalCodes: An Online Clinical Codes Repository to Improve the Validity and Reproducibility of Research Using Electronic Medical Records PLOS ONE, 9 >DOI >Link

Olier I, Trujillo-Barreto NJ, El-Deredy W. 2013. A switching multi-scale dynamical network model of EEG/MEG NEUROIMAGE, 83 :262-287 >DOI >Link

Ortega Martorell S, Ruiz H, Vellido A, Olier I, Romero E, Julià-Sapé M, Martín JD, Jarman IH, Arús C, Lisboa PJG. 2013. A novel semi-supervised methodology for extracting tumor type-specific MRS sources in human brain data PLoS ONE, >Public Url

Barreto L, Canadell D, Petrezselyova S, Navarrete C, Maresova L, Perez-Valle J, Herrera R, Olier I, Giraldo J, Sychrova H, Yenush L, Ramos J, Arino J. 2011. A Genomewide Screen for Tolerance to Cationic Drugs Reveals Genes Important for Potassium Homeostasis in Saccharomyces cerevisiae EUKARYOTIC CELL, 10 :1241-1250 >DOI >Link

Olier I, Amengual J, Vellido A. 2011. A variational Bayesian approach for the robust analysis of the cortical silent period from EMG recordings of brain stroke patients NEUROCOMPUTING, 74 :1301-1314 >DOI >Link

Perez-Ruiz A, Julia-Sape M, Mercadal G, Olier I, Majos C, Arus C. 2010. The INTERPRET Decision-Support System version 3.0 for evaluation of Magnetic Resonance Spectroscopy data from human brain tumours and other abnormal brain masses BMC BIOINFORMATICS, 11 >DOI >Link

Ortega-Martorell S, Olier I, Julià-Sapé M, Arús C. 2010. SpectraClassifier 1.0: a user friendly, automated MRS-based classifier-development system BMC Bioinformatics, 11 :106 >DOI >Public Url

Garcia-Gomez JM, Luts J, Julia -Sape M, Krooshof P, Tortajada S, Vicente Robledo J, Melssen W, Fuster-Garcia E, Olier I, Postma G, Monleon D, Moreno-Torres A, Pujol J, Candiota A-P, Carmen Martinez-Bisbal M, Suykens J, Buydens L, Celda B, Van Huffel S, Arus C, Robles M. 2009. Multiproject-multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE, 22 :5-18 >DOI >Link

Olier I, Vellido A. 2008. Variational Bayesian generative topographic mapping Journal of Mathematical Modelling and Algorithms, 7 :371-387 >DOI

Olier I, Vellido A. 2008. Advances in clustering and visualization of time series using GTM through time NEURAL NETWORKS, 21 :904-913 >DOI >Link

Olier I, Orhobor OI, Vanschoren J, King RD. Transformative Machine Learning >Link

Conference publication

Tosi A, Olier I, Vellido A. 2014. Probability Ridges and Distortion Flows: Visualizing Multivariate Time Series Using a Variational Bayesian Manifold Learning Method Villmann T, Schleif FM, Kaden M, Lange M. ADVANCES IN SELF-ORGANIZING MAPS AND LEARNING VECTOR QUANTIZATION, 10th International Workshop on Self-Organizing Maps (WSOM) 295 :55-64 >DOI >Link

Ortega-Martorell S, Julia-Sape M, Olier I, Lisboa P, Delgado-Goni T, Arus C, Ciezka M. 2014. Semi-supervised source extraction methodology for the nosological imaging of glioblastoma response to therapy 2014 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DATA MINING (CIDM), IEEE Symposium on Computational Intelligence and Data Mining (CIDM) :93-98 >Link >Public Url

Ortega-Martorell S, Arus C, Olier I, Lisboa P, Julia-Sape M. 2014. Automatic relevance source determination in human brain tumors using Bayesian NMF 2014 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DATA MINING (CIDM), IEEE Symposium on Computational Intelligence and Data Mining (CIDM) :99-104 >Link >Public Url

El-Deredy W, Olier I, Trujillo-Barreto N. 2012. A Bayesian model of EEG/MEG source dynamics and effective connectivity INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 16th World Congress of Psychophysiology of the International Organization of Psychophysiology (IOP) 85 :346-346 >DOI >Link

Cárdenas MI, Vellido A, Olier I, Rovira X, Giraldo J. 2012. Complementing Kernel-based visualization of protein sequences with their phylogenetic tree Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7548 LNBI :136-149 >DOI

Olier I, Vellido A, Giraldo J. 2010. Kernel generative topographic mapping Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010, :481-486

Olier I, Amengual J, Vellido A. 2010. Segmentation of EMG time series using a variational Bayesian approach for the robust estimation of cortical silent periods Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010, :439-444

Vellido A, Cárdenas MI, Olier I, Rovira X, Giraldo J. 2010. A probabilistic approach to the visual exploration of G Protein-Coupled Receptor sequences ESANN 2011 proceedings, 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, :233-238

Ortega-Martorell S, Olier I, Vellido A, Julià-Sapé M, Arús C. 2010. Spectral Prototype Extraction for dimensionality reduction in brain tumour diagnosis Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010, :445-450

Olier I, Vellido A. 2008. On the benefits for model regularization of a Variational formulation of GTM 2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8, International Joint Conference on Neural Networks :1568-1575 >DOI >Link

Olier I, Vellido A. 2008. A Variational Formulation for GTM Through Time 2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8, International Joint Conference on Neural Networks :516-521 >DOI >Link

Olier I, Vellido A. 2007. Variational GTM Yin H, Tino P, Corchado E, Byrne W, Yao X. INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2007, 8th International Conference on Intelligent Data Engineering and Automated Learning 4881 :77-86 >Link

Olier I, Vellido A. 2006. Capturing the dynamics of multivariate time series through visualization using generative topographic mapping through time 2006 IEEE INTERNATIONAL CONFERENCE ON ENGINEERING OF INTELLIGENT SYSTEMS, IEEE International Conference on Engineering of Intelligent Systems :493-+ >Link

Olier I, Vellido A. 2006. Time series relevance determination through a topology-constrained hidden Markov model Corchado E, Yin H, Botti V, Fyfe C. INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2006, PROCEEDINGS, 7th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2006) 4224 :40-47 >Link

Olier I, Vellido A. 2005. Comparative assessment of the robustness of missing data imputation through generative topographic mapping Cabestany J, Prieto A, Sandoval F. COMPUTATIONAL INTELLIGENCE AND BIOINSPIRED SYSTEMS, PROCEEDINGS, 8th International Work-Conference on Artificial Neural Networks 3512 :787-794 >Link

Chapters

Cárdenas MI, Olier I, Vellido A, Rovira X, Giraldo J. 2013. Kernel generative topographic mapping of protein sequences Bioinformatics: Concepts, Methodologies, Tools, and Applications 2 :817-830 9781466636040 >DOI

Cárdenas MI, Vellido A, Olier I, Rovira X, Giraldo J. 2012. Kernel generative topographic mapping of protein sequences Medical Applications of Intelligent Data Analysis: Research Advancements :195-208 9781466618039 >DOI

Vellido A, Olier I. 2009. Clustering and visualization of multivariate time series Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques :176-194 9781605667669 >DOI