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Steering Group

Professor Chris Taylor (University of Manchester)

Chris leads the UK Health Data Analytics Network, is Director of Manchester  Informatics and Associate Vice President for Research at the University of Manchester. 

He has has been a leading figure in health informatics in the UK for over 15 years. He chaired the UK Foresight Programme working party on health informatics and was awarded an OBE in 2000 in recognition of his services to Health and Foresight. Chris also leads the NewMind Plus Network and the GM Connected Health Ecosystem which brings together health & community care providers, Universities, local government social care providers and commissioners, the local clinical research network, major international companies & SMEs in a permanent partnership to accelerate the adoption of Connected Health solutions in Greater Manchester.

Chris has also been at the forefront computer vision research for over 35 years with some of the most highly cited publications in the field and a strong record in technology transfer. He founded one of the world’s leading multidisciplinary research centres in computer vision and medical image analysis. Chris is a Distinguished Fellow of the British Machine Vision Association, International Association for Pattern Recognition and Medical Image Computing and Computer-Aided Intervention Society. He was elected a Fellow of the Royal Academy of Engineering in 2006

Professor Ann Blandford (UCL)

Ann Blandford is Professor of Human–Computer Interaction (HCI) at UCL, Director of UCL Institute of Digital Health and Chair of the UK Computing Research Committee (UKCRC). Following a degree in mathematics, she started her career in industry, as a software engineer, but soon moved into academia, where she developed a focus on the use and usability of computer systems. She leads research projects studying health technology design, patient safety and user experience, with a focus on situated interactions. This has included programmes of research on making medical devices safer (CHI+MED) and on understanding practices in intravenous medication administration (ECLIPSE), focusing particularly on the design of infusion devices, the broader systems of practice within which they are used, and how these impact on patient safety.

She also leads research on how health technologies can be designed to support citizen engagement, for health management (e.g. sexual health) and wellness (e.g. physical activity and diet). She has over 200 international, peer-reviewed publications, and also Synthesis Lectures on “Interacting with Information” and on Qualitative research in HCI

Professor David Hogg (University of Leeds)

David is Professor of Computer Vision and Machine Learning at the University of Leeds. Following the completion of his PhD at the University of Sussex, he remained at Sussex for several years, looking at a variety of AI and computer vision problems and co-authoring the AI textbook “Computers and Thought”. Professor Hogg has previously worked head of the division of artificial intelligence. The group at Leeds went from strength to strength under his leadership, with hundreds of influential publications in the succeeding years. In 2000, he took on the role of Pro-vice-chancellor at Leeds, and spent four years in university administration which marked by further expansion of the Leeds group, and he co-chaired CVPR 2010. He continues to devote considerable time to his role as one of Leeds's three Pro-Vice-Chancellors: his office being responsible for Research and Innovation, promoting the University's research agenda.

Professor Dave Robertson (University of Edinburgh)

Dave is a Fellow of the British Computing Society and chairs the executive of the UK Computing Research Committee (the expert panel of BCS and IET). He is a member of the EPSRC Strategic Advisory Team for ICT and of the MRC Population Health Sciences advisory group; is on the Industry Advisory Board for Innovate UK’s ICT programme and is a member of the management boards for the Scottish Innovation Centres in Digital Healthcare and Data Science.

Dr Lydia Drumright (University of Cambridge)

Lydia is University Lecturer of Clinical Informatics in the Department of Medicine at the University of Cambridge. Within Cambridge Clinical Informatics, she directs the science and research activities, and facilitates expansion of the Centre through collaborations and securing external funding. Dr Drumright received her Bachelors of Science in Biochemistry and Cellular Biology at the University of California, San Diego (UCSD), where she engaged in molecular biology and human and pathogen genomics within the Department of Psychiatry and at the Salk Institute. Following her undergraduate training and significant involvement in laboratory research focus on pathways of disease in humans, Dr Drumright went on to received a Masters in Public Health (MPH) in Health Education and Community Health. During her Masters, Dr Drumright gained hands-on experience in community outreach, mobilisation and behavioural interventions. She interned with Los Angeles County Department of Health and Human Services, where she learned how research could be transformed into public health practice through policy. In 2006, Dr Drumright received her PhD in Public Health in Infectious Diseases Epidemiology jointly from the Department of Medicine at UCSD and the Graduate School of Public Health at San Diego State University, where her research focused on sexually transmitted infections, HIV and hepatitis C infections in clinical and community settings.

The diversity of Dr Drumright’s training is also reflected in her career path where she has had the opportunity to conduct research in a multitude of settings, on a variety of health problems, across multiple countries. She has conducted both within the US and UK, as well as other countries, and within the UK worked within and with PHE and Imperial College London and the Imperial College Healthcare NHS Trust.

Professor Niels Peek (University of Manchester/ HeRC)

Niels is Professor of Health Informatics at the MRC Health eResearch Centre for North England (www.herc.ac.uk), University of Manchester and Director of GM Connected Health City.  His background is in Computer Science and Artificial Intelligence. After completing his PhD he worked at the Department of Medical Informatics of the Academic Medical Center in Amsterdam, the Netherlands. He has co-authored over 100 scientific publications in health informatics, artificial intelligence, and epidemiology.

His research focuses on improving quality and safety of healthcare using methods and tools from the fields of informatics, statistics and artificial intelligence. From 2003 to 2014, he has led a large initiative on quality improvement in cardiac rehabilitation in the Netherlands (called CARDSS), which involved a collaboration between more than 30 hospitals, the Dutch patients’ organization for cardiovascular disorders, a large number of professional societies, several academic research groups and three healthcare IT companies. He has also co-organized international workshops on intelligent data analysis in biomedicine in 2005, 2006, and 2011, and he is the president of the Society for Artificial Intelligence in Medicine (AIME) which organizes an international conference on that topic every two years.

Professor Mihaela van der Schaar (University of Oxford/ Alan Turing Institute)

Mihaela van der Schaar is Man Professor of Quantitative Finance in the Oxford – Man Institute of Quantitative Finance (OMI) and the Department of Engineering Science at Oxford, Fellow of Christ Church College and Faculty Fellow of the Alan Turing Institute [Link], London . Mihaela's research interests and expertise are in machine learning, data science and decisions for a better planet. In particular, she is interested in developing machine learning and decision theory for finance, medicine and personalized education. She also has research interests and expertise in game theory and applications, and in social, economic and biological networks. She leads the Data Science and Decisions Research Group.