Norman Fenton
Queen Mary University of London (Professor)
QMUL Staff Profile
Norman’s current research focuses primarily on quantitative risk assessment. This typically involves analysing and predicting the probabilities of unknown events using Bayesian statistical methods including especially causal, probabilistic models (Bayesian Networks). This type of reasoning enables improved assessment by taking account of both statistical data and also expert judgment. In addition, Norman has a long track record of work in software engineering (including pioneering work on software metrics). The new third edition of his book “Software Metrics: A Rigorous and Practical Approach” was published in November 2014.
William Marsh
Queen Mary University of London (Professor)
QMUL Staff Profile
William’s research aims are to develop better ways to build useful risk and decision making techniques, using a combination of data and knowledge (or expertise). He mainly works with Bayesian networks and prefers to work with ‘end users’ who are making decisions. He is currently collaborating with several groups of clinicians to build decision support systems for medical decision problems.
Scott McLachlan
Queen Mary University of London (PDRA, PhD)
Scott’s Profile
Scott is currently working on the PAMBAYESIAN project as a postdoctoral research assistant. He accumulated over 17 years experience in Infrastructure and Software Architecture, systems integration and Workflow design before returning to university to complete graduate and postgraduate qualifications and research in Health Informatics, Health and Cyber Law, Knowledge Engineering and Data Mining. Scott completed his PhD in Computer Science (Health Informatics) as an adjunct to his work on PamBayesian
Maggie Wang
Queen Mary University of London (PDRA, PhD)
QMUL Staff Profile
Maggie is currently working on the PAMBAYESIAN project as a postdoctoral research assistant. She had worked for two years as a Postdoc in Haematopoietic Stem Cell Lab, Cambridge Institute for Medical Research. Before that, she got her PhD in applied statistics at Wageningen University, the Netherlands and her MSc in applied mathematics and computing at Cranfield University, United Kingdom. Her research has focused on developing algorithms for construction of probabilistic graphical models, especially Bayesian networks.
Sarah Finer
Queen Mary University of London (Clinical Snr Lecturer in Diabetes)
QMUL Staff Profile
Sarah studied medicine at UCL, qualifying in 2002. After SHO jobs at UCLH, St Thomas’, and Barts and the London, she moved eastwards for SpR training in general medicine, diabetes and endocrinology. She was an NIHR Academic Clinical Fellow at Barts and the London, and then obtained an MRC Clinical Resarch Training fellowship to pursue her PhD, which she obtained in 2013. Sarah is an active clinician, with specialist interests in diabetes in pregnancy, community diabetes and type 1 diabetes (including pumps).
Bobby Huda
Queen Mary University of London (Clinician Specialist in Diabetes)
Bobby’s Profile
Dr Huda is a British UK graduate, qualifying from the University of Liverpool in 1999. He currently works as a Consultant Physician in Diabetes & Metabolic Medicine, and his clinical interests include type 1 diabetes (in particular insulin pumps/sensors), general diabetes, diabetes in pregnancy, general endocrinology and obesity.
Bridget Daley
Queen Mary University of London (Midwifery Fellow, PhD Candidate)
QMUL Staff Profile
Bridget is a Registered Midwife with over a decade of clinical experience in both hospital and community midwifery. Prior to her midwifery training Bridget also attained a degree in applied chemistry, having worked six years for New Zealand’s Crown laboratory service, Environmental Science & Research (ESR). Bridget has been engaged as the Midwifery Research Fellow on the Gestational Diabetes Mellitus (GDM) PamBayesian Case Study.
Dylan Morrissey
Queen Mary University of London (Clinical Consultant Physiotherapist)
QMUL Staff Profile
Dylan has over 25 years experience working in sports and exercise medicine. He completed an MSc at University College London in 1998 and a PhD in 2005 at King’s College London. He is now an NIHR/HEE consultant physiotherapist and clinical reader in sports and musculoskeletal physiotherapy at Bart’s and the London NHS trust / BL School of Medicine and Dentistry, QMUL.
Graham Hitman
Queen Mary University of London (Professor)
QMUL Staff Profile
Graham graduated from University College Hospital Medical School in 1976 and did his clinical training in General Medicine and Diabetes in Kings College and associated Hospitals, St Bartholomew’s Hospital and subsequently The Royal London Hospital. He did his MD research into the genetics of diabetes with Professor David Galton at Barts and was subsequently appointed as Lecturer, Senior Lecturer and Reader at the Royal London Hospital Medical College working under Professor RD Cohen. Since 1995 he has been Professor of Molecular Medicine and Diabetes at Barts and The London School of Medicine and Dentistry. Prof Hitman was director of the Blizard Institute from October 2013 to March 2017
Martin Neil
Queen Mary University of London (Professor)
QMUL Staff Profile
Martin is a Professor in Computer Science and Statistics in Queen Mary, University of London. His research interests cover Bayesian modeling and risk quantification in diverse areas. Experience in applying Bayesian methods to real problems has convinced him that intelligent risk assessment and decision analysis requires knowledge and data. Not just “Big Data”. He is also a joint founder and of Agena Ltd, who develop and distribute AgenaRisk, a software product for modeling risk and uncertainty . At Queen Mary he teaches decision and risk analysis and software engineering.
Evangelia (Lina) Kyrimi
Queen Mary University of London (PDRA, PhD)
QMUL Staff Profile
Evangelia is a statistician who works as a research assistant on the Pambayesian project. Having recently attained her PhD in computer science at Queen Mary University of London. Her thesis is titled “Bayesian Networks for Clinical Decision Making: Support, Assurance, Trust”. Her research interests lie in Bayesian modeling and decision support under uncertainty in medical applications.
Mariana Raniere
Queen Mary University of London (PhD Student)
QMUL Staff Profile
Mariana is a PhD student in Computer Science at Queen Mary University. She has bachelor and master degrees in Statistics from the Federal University of Rio de Janeiro, where she also worked as a lecturer. She has also worked as a researcher at the Institute for Applied Economic Research (Brazil). Her research interests lie in Bayesian Inference, Dynamic Models and applications of Bayesian Statistics.
Frances Humby
Queen Mary University of London (Snr Lecturer and Consultant Rheumatologist)
QMUL Staff Profile
Frances trained at UCL Medical School, graduating in 1997 with honors and a first class intercalated BSc in Genetics. Her PhD examined the clinical and immunological significance of ectopic lymphoneogenesis within the rheumatoid synovial membrane. She was appointed as Senior Lecturer and Honorary Consultant in Clinical Rheumatology at William Harvey Research Institute, Barts and the London School of Medicine in 2010. Her research interests are translational and focused primarily on RA in particular on synovial pathobiological markers of prognosis in early disease and on the identification of synovial biomarkers of response/resistance to biologic drugs.
Ali Fahmi
Queen Mary University of London (PhD Student)
QMUL Staff Profile
Ali is a PhD student in Computer Science at Queen Mary University of London. He holds a bachelor degree in Industrial Engineering from University of Tabriz, Iran, and a master degrees in Management Engineering from Istanbul Technical University, Turkey. His research interests focus on decision support, Bayesian networks, and their application in medical and social contexts.
Akram Alomainy
Queen Mary University of London (Associate Professor)
QMUL Staff Profile
Akram is a senior lecturer (Associate Professor) at QMUL specialised in wearable electronics, antennas and EM radio engineering, intelligent network concepts and nano-scale body-centric communications spanning applications from 5G wireless solutions through tele-robotics to comprehensive healthcare monitoring and diagnostic tools. He has published over 250 journal and conference papers with H-index of 32 and +4100 citations. His main focus in the PAMBAYSIAN project is on wearable solutions for case scenarios and electronic systems integration.
