Prof. Marta García-Fiñana is a Professor of Health Data Science at the University of Liverpool. Marta has expertise in the development of clinical prediction models and classification, as well as in the design and analysis of preclinical and basic science studies. She is particularly interested in the development of personalised risk models to predict the future clinical status of a patient using baseline and clinical data collected over time. Marta leads the Liverpool Multivariate Data Modelling Research Group and she is involved in a number of research projects as PI or Co-I (MRC, Horizon 2020, CRUK and NIHR). Marta is currently a committee member of the DPFS Medical Research Council panel, which focusses on the development and testing of medical devices, diagnostics and new therapies, and of the NC3Rs grants assessment panel.
Trevor Cox (Honorary Appointment)
Dr Trevor Cox is a Reader and Director of Cancer Statistics and Bioinformatics at the Liverpool Cancer Trials Unit. Dr. Cox was Head of the Clinical Data Sciences Group at Unilever R&D, Port Sunlight. Dr. Cox has written two books on multivariate data analyses and has a long track record of publications in a wide range of statistical topics, including clinical trial methodology, quality of life data, multivariate data analysis and statistical process control.
Dr Christopher Cheyne is a Postdoctoral Research Associate in the Department of Biostatistics. Chris has worked on a number of projects using multivariate data analysis techniques with applications in the areas of epilepsy and diabetic retinopathy. He analyses large datasets from multiple sources and is currently working on TREGeneration, a European Horizon 2020 project on Graft-versus-host disease. Chris has contributed to the development of courses on Multivariate Data Analysis.
Dr David Hughes is an MRC fellow (UKRI Innovation Fellowship award) in the Department of Biostatistics. David’s project looks to apply variational approximation techniques to multivariate models for longitudinal data in a variety of settings. The statistical methods David develops will be applied in a number of settings including diabetes, cancer research and epilepsy. Prior to this fellowship David worked on the MRC DiALog project to develop methods of longitudinal discriminant analysis.
Dr Kukatharmini Tharmaratnam
Dr Kukatharmini Tharmaratnam is a Postdoctoral Research Associate in the Department of Biostatistics. She has developed expertise in the areas of semiparametric regression techniques, high-dimensional data modelling, missing data modeling and modelling recurrent events. She is currently working on the projects ENCEPH, VOID, Neuropathy data and Lupus.
Nazatulshima Hassan is a full-time PhD student and her work focusses on principal component analysis: extensions and applications to genetic data.
Riham El-Saeiti is a full-time PhD student in the Department of Biostatistics. Her work focuses on discriminant function analysis for longitudinal data with applications in eye research
Daniel Lythgoe is a part-time PhD student. Dan’s thesis is based around multi-dimensional scaling for covariate dimension reduction in survival regression.
Nurain Ibrahim is a full-time PhD student at Department of Biostatistics. Nurain’s thesis focuses on variable selection and classification methods, and their application to metabolomics data and cancer data.