MBBS BSc MRes DMCC MRCA
UK Health Data & AI Lead
Honorary Senior Research Fellow in Clinical Foundation Models
Chris is a curiosity-driven physician scientist with over a decade of experience in healthcare, spanning physiological research and clinical medicine, as well as quantitative methods in epidemiology and machine learning. His work has been featured in top medical journals (Nature Medicine, Circulation, BMJ, Lancet Digital Health) and informed policy at home and abroad.
He is excited about the ability of artificial intelligence to flexibly integrate, structure and summarise insights from both traditional knowledge repositories and observational data, to scalably advance our understanding of health and disease, and enable us to address the fundamental challenges of precision medicine: diagnosis, prognosis and treatment response.
Chris enjoys productive collaborations spanning computer science, health informatics and clinical medicine across UCL institutions, other universities within the UK, and abroad, as well as organisations such as Health Data Research UK, British Heart Foundation Data Science Centre, The Alan Turing Institute and Wellcome Trust and industry partners such as GSK, Databricks and AWS.
He strongly believes in the value of multidisciplinary collaboration for delivering responsible innovation and impacts, particularly in complex areas such as healthcare and biomedicine, as well as relishing the learning opportunities that this provides.
This ethos is reflected in a wide range of co-authors, as visualised in the interactive network diagram below:
Should you be interested, you can follow my latest updates on Twitter @tomlincr: