Marta García-Fiñana is a Professor of Biostatistics at the University of Liverpool (Department of Biostatistics). Prof. García-Fiñana has expertise in the development and validation of multivariate statistical models for clinical prediction and classification, and in stereological techniques. 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 (EPSRC, MRC, Horizon 2020, CRUK and NIHR). Marta is currently a committee member of the DPFS Medical Research Council panel 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 different projects using multivariate data analysis techniques applied to datasets including epilepsy and magnetic resonance imaging data. He is currently analysing data from a large observational cohort study in the area of diabetic retinopathy, as well as working on another two studies in the fields of infectious diseases and encephalitis. Chris has contributed to the development of a highly subscribed course on Multivariate Data Analysis for the University of Liverpool and the Royal Statistical Society.
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 and missing data modeling. She is currently working on the projects ENCEPH, VOID and IVIS.
Dr Sarah Berhane
Dr Sarah Berhane is a Postdoctoral Research Associate in the Department of Biostatistics. Sarah has developed and applied several clinical predictive models for the diagnosis and prognosis of hepatocellular carcinoma. She is currently working on the EPSRC LCMH project “Multiple biomarker selection for personalised medicine: applications in ophthalmology and cancer research”.
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.