Technology and Systems

Yaning (she/her) is a PhD student at the NIHR Blood and Transplant Research Unit in Donor Health and Behaviour. Using world-first large-scale datasets of voluntary blood donors in England, she is investigating the short- and long-term health effects of donation and hopes to generate evidence that will impact upon policy and practice in donor selection, care, and communications. Yaning has a background in epidemiology, social determinants of health, data science, and causal inference.

I am a South African-trained clinician-scientist with an interest in infectious diseases, immunology, and vaccines. I am currently a PhD student in Professor Jonathan Heeney's group, where I am examining immune correlates of protection to COVID-19 and potential strategies for broadening protection of future vaccines.

Anmol Arora is an Academic Clinical Fellow at University College London and an Honorary Researcher at the University of Cambridge, with an intercalated degree in Management Studies from the Cambridge Judge Business School. His research focusses on the use of artificial intelligence and machine learning in healthcare. He holds honorary research affiliations with NHS England and Improvement and Moorfields Eye Hospital, London.

Tom’s principal academic interest is in developing a systems understanding of interventions to improve peri-operative care in low income settings, working closely with the NIHR Global Health Research Group on Neurotrauma.  His introduction to global health came working with VSO in Ethiopia between 2011-2012, during which time he closely worked with Lifebox Foundation.

Peter Charlton is a British Heart Foundation Research Fellow in the Department of Public Health and Primary Care, at the University of Cambridge. He develops biomedical signal processing techniques to analyse data from digital wearable devices for clinical decision making.

Mobile phones and personal wearable devices will play a major role in deploying public health screening and monitoring applications at scale, due to their pervasive penetration in the population and capability to sense the intricate details of daily lives. My research interest is to build machine learning algorithms and systems that are suitable for these applications and can run on the resource constrained end-devices. Alongside, I also care about the privacy of the users and want to protect individual’s data while enabling aggregate inferences.

Dr Bruun is a social anthropologist and Research Associate at King’s College London where he is working on the SAMCOM project (https://samcom.uk) that investigates forms of surveillance and monitoring in Germany and Britain, funded by the European Research Council. He currently researches the question of health surveillance in the UK through fieldwork with users of digital self-monitoring technologies, such as health-tracking apps and smartwatches.