Asra Aslam
Victoria Bartle
Simon Fraser
Simon is Associate Professor of Public Health at the University of Southampton. He has been interested in long-term conditions throughout his career, having been a GP for sixteen years and retraining as a Public Health specialist. His doctoral degree focused on the epidemiology of chronic kidney disease with a particular interest in health inequalities and health literacy. He has subsequently led several studies on multiple long-term conditions, kidney disease, medicines optimisation, health-related quality of life and treatment burden. His research aims to understand and address the determinants, burden, inequalities and adverse outcomes associated with long-term conditions.
Mahwish Mohammed
Mahwish is working as a Data Wrangler for the AI for Multiple Long-Term Conditions Research Support Facility and is a member of the Data for Research programme at The Alan Turing Institute, focusing on delivering research ready data. Mahwish started at the Turing in June 2022 and obtained her Bachelors in Mathematics and Masters in Machine Learning from Royal Holloway. She has a diverse background in software support, healthcare and data science.
Chris Orton
Chris is technical lead for the Inflammation and Immunity HDR UK Driver Programme, leads research and infrastructure development projects for SAIL Databank and the Secure eResearch Platform (SeRP) UK, and is currently managing the reproducible infrastructure theme for the AI for Multiple Long-Term Conditions: Research Support Facility. Chris has been with Population Data Science at Swansea University since 2012 and has project and programme management experience across multiple research disciplines and technologies, feeding into large-scale developments in population health across the UK and internationally. Chris continues to work with senior management in Swansea and across HDR UK on national strategy for infrastructure and research development, and with analysts worldwide supporting their research using SeRP technology.
Dr Rachael Stickland is a member of the Data for Research programme at The Alan Turing Institute. This programme focuses on delivering research ready data. The provisioning of data is often the largest single hurdle for most analytical projects. The aim of the programme is to remove this burden and provide tools, standards and processes for integrating and provisioning high-quality data. Rachael started at the Turing in September 2022, employed as a Data Wrangler for the AI for Multiple Long-Term Conditions Research Support Facility. Rachael’s background training is as a research scientist, completing a PhD and postdoctoral research in the field of neuroimaging, specialising in Magnetic Resonance Imaging (MRI).
Lauren Walker
Kirstie Whitaker
Kirstie is a passionate advocate for making science "open for all" by promoting equity and inclusion for people from diverse backgrounds. She is the co-lead investigator of the AI for Multiple Long Term Conditions Research Support facility and Director of the Tools, Practices and Systems Research Programme at The Alan Turing Institute. Kirstie is the lead developer of The Turing Way, an openly developed educational resource that trains and enables researchers and citizen scientists across government, industry, academia and third sector organisations to apply open source practices to their work. Her doctoral and postdoctoral research at the University of California at Berkeley (2007-12) and the University of Cambridge (2012-17) investigated structural and functional brain development for children and adolescents using magnetic resonance imaging. She is a Fulbright scholarship alumna, was a 2016/17 Mozilla Fellow for Science, and served as an inaugural member of the Brain Imaging Data Structure Steering Committee (2019-21).
Lynne Wright
I am retired and live in East Devon. My husband. Adrian, died last year. I have two daughters and two granddaughters. I have been involved in PPIE for over ten years and had previous served two three-year terms as a Governor of my local NHS Foundation Trust Hospital. I have been involved with charities, universities and health related organisations taking part in research studies including being co-applicant and on Steering Committees. I am a member of the PenPEG at Exeter University, INVOLVE at Hull University and the MMTRC (Multi Morbidity) PiMM with UCL. I am also a member of UseMyData. I have a keen interest in Genome Research, AI and Palliative and End of Life Care. Adrian had Parkinson’s with Lewy Body Dementia together with other co-morbidities and I was his carer for many years. Caring for someone with MLTC can be difficult, particularly if they also have a dementia. It involves different consultants with lots of different medications and one medication can cause a reaction with another medication. It is also sometimes hard to be listened to as a Carer but we often know our loved ones needs better than anyone else.
Christopher Yau
Christopher Yau is Professor of Artificial Intelligence based at the Big Data Institute in Oxford working across the Nuffield Department of Women's and Reproductive Health and the Nuffield Department of Population Health. He holds a UKRI/EPSRC Turing AI Acceleration Fellowship and is PhD Programme Director at Health Data Research UK, leading the Health Data Research UK-Turing Wellcome PhD programme in Health Data Science. He is AI Lead for the NIHR OPTIMAL project which is led by the University of Birmingham.
Yajing Zhu
Yajing is a Principal Data Scientist and digital health concept leader at Roche, personalised healthcare Centre of Excellence. She is a statistician by training and has worked extensively on real-world data and real-world evidence related projects to assist early and late-stage drug development. Yajing is also a principal investigator for a couple of university-industry research collaborations for algorithm development and validation using big healthcare data. In the digital health space, she has led early and mid-stage digital health concept teams to grow from conceptual-based or research-grade algorithm solutions, to industry-grade digital solutions. With a patient-centric focus, Yajing’s team is committed to providing patients and HCPs with beyond-molecule solutions that produce additional benefit, but at less cost to society. In order to bring the promise of personalised healthcare to life, there are 4 key focus areas: Early detection and accurate diagnosis, Individualised care, Access to optimal care and Remote care and monitoring.
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