Data Science & Artificial Intelligence

I am a Senior Research Associate based in the Cardiovascular Epidemiology Unit in the Dept of Public Health & Primary Care, where I also hold an affiliation to the NHS Blood & Transplant Research Unit. My research focuses on the use of simulation modelling to evaluate novel public health strategies both in terms of clinical outcomes and cost-effectiveness.

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.

I am Aalia. I was a dentist who developed an interest in research and public health. I have a master's in dental public health from Queen Mary University of London and a PhD from the University of Glasgow, where the Oral health promotion program was evaluated for community linking to reduce oral health inequalities. I have now joined the University of Cambridge as a research associate in population health and data science. I am working on both ARC and SPHR projects.

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.

Giacomo is a research associate in the Department of Psychology.

Giacomo’s research centres on social inequalities in educational and mental health outcomes in childhood and adolescence. He has a particular interest in psychometrics and data science. Before his post-doctoral appointment, Giacomo completed his PhD at the MRC Cognition and Brain Sciences Unit in Cambridge.

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.