Joint Research Office
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- Post Approval
- Academic Clinical Trials
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- Standard Operating Procedures
Rumana Omar, Reader
Rumana is a Reader in Medical Statistics at the Department of Statistical Science, UCL and head of the Biostatistics Group at the Research Support Centre. Rumana has completed a PhD in Medical Statistics from the University of Reading. Previously she has worked at Imperial College, Barts and London Medical School and London School of Hygiene and Tropical Medicine. Rumana has collaborated nationally and internationally on large scale observational studies and trials. Her main research interests are: case-mix/risk prediction models, both applied and methodological aspects of cluster randomised trials, analysis of repeated measurements data and meta-analysis.
Gareth Ambler, Senior Lecturer
Gareth is a Senior Lecturer in Medical Statistics holding a joint post between the Biostatistics Group and the Department of Statistical Science at UCL. Gareth completed a PhD in Statistics in 1996 at the University of Sussex. This considered changes of in-hospital mortality following myocardial infarction over an eight year period. Previously he worked in the department of Medical Statistics at Imperial College School of Medicine. Gareth's main research interests are the formulation and validation of risk models, particularly relating to cardiac surgery.
Gianluca Baio, Lecturer
Gianluca is a lecturer in Medical Statistics at the Department of Statistical Science, UCL and a member of the Biostatistics Group at the UCLH/UCL Research Support Centre. He graduated in Statistics and Economics from the University of Florence (Italy). He then completed a PhD programme in Applied Statistics again at the University of Florence, after a period at the Program on the Pharmaceutical Industry at the MIT Sloan School of Management, Cambridge (USA); he then worked as a Research Fellow and then Temporary Lecturer in the Department of Statistical Sciences at University College London (UK). His main interests are in Bayesian statistical modelling for cost effectiveness analysis and decision-making problems in the health systems and causal inference using the decision-theoretic approach.
Julie Barber, Lecturer
Julie is a lecturer in Medical Statistics holding a joint post between the Biostatistics Group and the Department of Statistical Science at UCL. Julie completed her PhD looking at statistical issues in economic evaluations of randomised trials. Previously she has worked at the London School of Hygiene and Tropical Medicine, Imperial College and the MRC Clinical Trials Unit. She has experience of both randomised trials and large epidemiological cohort studies. Her main methodological interests concern statistical issues in design and analysis of trials and in health economic evaluations.
Zoe Fox, Lecturer
Zoe is a lecturer in Medical Statistics holding a joint post between the Biostatistics Group and the Institute of Neurology at UCL. Zoe completed a PhD in Epidemiology in 2008 at UCL while working part-time in the UCL HIV Epidemiology and Biostatistics Group. Previously she worked in the UCL HIV Epidemiology and Biostatistics Group, The Copenhagen HIV Programme as well as the London School of Hygiene and Tropical Medicine. She has over ten years of experience working on both randomised trials and large epidemiological cohort studies in HIV. Zoe's main research interests are statistical issues with the design and analysis of clinical trials, with a particular focus on survival analysis in individuals with neurological conditions or HIV.
Paul Bassett, Senior Research Associate
Paul joined the Biostatistics Group at the Joint Unit in June 2009. He has an MSc in Biometry from the University of Reading, and has previously worked at Imperial College School of Medicine and at the Institute of Education. He has provided statistical consultancy on a wide range of areas, from mental health to radiology. He has a broad experience of varying types of studies, ranging from randomised controlled trials to epidemiological studies. He is a statistical reviewer for a medical journal, and has sat as a statistician on a Research Ethics Committee.
Matthew Burnell, Research Associate
Matthew joined the Biostatistics Group at the Joint Unit in March 2010. He has a PhD in Statistics from the University of Glasgow and an MSc in Statistics from the University of Sheffield. Within the Biostatistics group he provides statistical consultancy on a broad range of topics as well as teaching assistance. He also has a joint post in UCL’s Department of Women’s Cancer as the trial statistician in one of the world largest ever randomised controlled trials (over 200 000 women in an ovarian cancer screening trial) as well as multiple research collaborations with clinical and genetic experts both within and outside of UCL. His areas of interest naturally include cancer trials but also diverse subjects such as psychometric theory and pharmacokinetics.
Fatima Jichi, Research Associate
Fatima has completed an MSc in Medical Statistics at the London School of Hygiene & Tropical Medicine. She previously worked as an NIHR Research Methods Fellow at the Institute of Psychiatry, King’s College London. She has worked closely with the Mental Health & Neuroscience Clinical Trials Unit at KCL. Her main research interests are in clinical trials, risk models and methodology for modelling longitudinal data.
Khadija Rantell, Research Associate
Khadija has completed an MSc in Applied Statistics and Operational Research at Birkbeck College and a Diploma in Epidemiology at the European Training Programme in Italy. Khadija is currently studying for a PhD in Medical Statistics at Sheffield University looking at the development of a predictive model to assess quality of life in children admitted to paediatric intensive care in the UK. Previously she has worked at Sheffield University, at a Contract Research Organisation, and at the Institute of Child Health. Khadija has worked on national large scale observational studies as well as clinical trials (Phase I to Phase III). Her main research interests are: case-mix/risk models, clinical trials, quality of life measures, and analysis of repeated measures. Khadija is a Fellow of the Royal Statistical Society and Society for Social Medicine.