About the DEMON Network
We are the international network for the application of data science and AI to dementia research. The Deep Dementia Phenotyping (DEMON) Network brings together academics, clinicians and other partners from across the world. By connecting these people, we can identify innovative approaches to interdisciplinary collaborative dementia research across multiple institutions.
Our vision is to revolutionise dementia research and healthcare by bringing innovators together and harnessing the power of data science and AI.
Prof David Llewellyn
David is a Professor at the University of Exeter Medical School and a Fellow at the Alan Turing Institute. His research aims to enhance the timely detection of dementia, with a focus on developing strategies for primary and secondary prevention using machine learning. He sits on Alzheimer’s Research UK’s Grant Review Board and their Clinical Policy Advisory Panel. David is also the Clinical Theme Lead for the Exeter Institute for Data Science and Artificial Intelligence, and the Alan Turing Institute Clinical Lead for the University of Exeter.
Dr Janice Ranson
Janice is a Postdoctoral Research Fellow at the University of Exeter Medical School. Her research interests include the development of clinical prediction models for direct clinical and research applications. Janice is involved in several international collaborative initiatives related to health and aging, including a series of cross-national comparisons of health and aging coordinated by the Integrative Analysis of Longitudinal Studies of Aging, and the development of a user manual for initiation of Brain Health Services (in press).
Dr Charlotte James
Postdoctoral Research Fellow
Charlotte is a Research Fellow in Data Science at the University of Exeter Medical School working on two projects: DEMON Network and SAMueL. Her background is in Applied Mathematics and Computer Science and she has a PhD in Engineering Mathematics from the University of Bristol. Her current work focuses on the application of data science and AI to health research.
Jan joined the DEMON Network team in September 2019, after working in the University of Exeter Finance Team and in Postgraduate Admissions. Her role as administrator involves providing front line support and advice to academics and partners involved in the running of the network and the delivery of its outputs. This includes research development, project co-ordination, financial elements and impact reporting.
Prof Richard Everson
Richard is a Professor of Machine Learning. Research interests are in machine learning, statistical pattern recognition, multi-objective optimisation and the links between them. Particular current interests are in optimisation in wireless and mobile networks to maintain quality of service, in automatic analysis of video and accelerometer data for inferring behavior of animals (funded by NERC and the Open Innovation Platform) and people (with the Royal Devon and Exeter Hospital), and in modelling big data storage systems (with the Met Office).
Dr Carol Routledge
Carol is the Director of Research at Alzheimer’s Research UK where she currently drives the research agenda. Carol has moved to ARUK from the Dementia Discovery Fund, where she was a Venture Partner with a key focus on identifying and developing novel disease-modifying mechanisms for the treatment of all types of dementia, sourcing opportunities from academic research groups and small companies.
Dr Sarah Bauermeister
Sarah is a Senior Researcher at the Department of Psychiatry, University of Oxford, working for Professor John Gallacher, Director of Dementias Platform UK (DPUK). She works and supervises across multiple projects as a multidisciplinary and psychometric analyst for the European Prevention of Alzheimer’s Disease (EPAD) study and DPUK. She is also senior data manager DPUK, a data repository platform for over 2 million participants across 45+ population and disease-specific cohorts.
Dr Michele Veldsman
Early Career Development Theme Lead
Dr Michele Veldsman is a Postdoctoral Research Scientist in the Cognitive Neurology group of Professor Masud Husain. Her research looks at the impact of dementia syndromes and stroke on functional and structural networks in the human brain.
Dr Magda Bucholc
Early Career Development Theme Lead
Magda is a Lecturer in Data Analytics at the Intelligent Systems Research Centre at Ulster University. She works on the development and implementation of statistical frameworks and computational methodologies in clinical decision making, in particular, to improve current disease risk prediction models, enable earlier diagnosis, optimize allocation of health care resources, and deliver more tailored treatments to patients.
Dr Eugene Tang
Clinical Theme Lead
Eugene is a NIHR Doctoral Research Fellow at Newcastle University. Eugene’s research interests are around dementia and earlier diagnosis through risk prediction models in primary care to identify those at highest risk (including at-risk groups e.g. stroke-survivors) in order to receive timely diagnosis and subsequent treatment. Other interests include promoting academic general practice and international primary care.
Dr Neil Oxtoby
Data Science Theme Lead
Neil is a UKRI Future Leaders Fellow at UCL. His current research focusses on developing and applying computer science approaches to determining the progression of degenerative neurological diseases like Alzheimer’s and Parkinson’s. He is a senior member of the POND group in CMIC at UCL, and the Scientific Manager (and Co-Investigator) for the EuroPOND consortium.