Joseph Cutteridge

I have a broad range of research experience spanning clinical, laboratory, and computational domains.

Previous vascular surgery projects I have led include work on surgical site infection, venous disease, and evaluating the external validity of vascular surgery randomised controlled trials.

My work at the Nuffield Department of Surgical Sciences focuses on abdominal aortic aneurysm disease, where I am an investigator on the Metformin Aneurysm Trial, the largest medicines trial in aneurysm disease to date. I am also applying computational and machine learning techniques to Oxford aneurysm data, to provide data-driven insights into how we can improve aneurysm care.

I also support he pan-European VASCUL-AID consortium, which is aiming to develop trustworthy artificial intelligence tools to improve patient care across vascular surgery.

Teaching commitments

I hold teaching posts at two Oxford Colleges, as Assistant Clinical Tutor at The Queen's College and Teaching Associate at Green Templeton College, delivering surgical bedside teaching to medical students with a focus on history-taking and clinical examination. I also mentor students through the Hugh Cairns Surgical Society, Oxford's medical student surgical society. At a national level, I sit on the Royal College of Surgeons of Edinburgh (RCSEd) Core Trainee Forum, where I organise leadership development for early-career surgeons.

I grew up in Hertfordshire, attending St Edmund’s College in Ware. I read medicine at Oxford, completing pre-clinical training at The Queen’s College, and clinical training at Green Templeton College. It was my vascular surgery rotation at the John Radcliffe that inspired me to become a vascular surgeon, where I worked alongside an exceptional team who provided much support, mentorship and encouragement.

I undertook my academic foundation training in Yorkshire, during which I completed a PGCert in Health Research and Statistics, funded by Health Education England. My research placement was based at Hull Royal Infirmary, where I worked on developing novel methods to reduce the incidence of surgical site infection in vascular surgery.

I then chose to take time out of clinical training to complete a full-time MSc in Health Data Analytics and Machine Learning, at Imperial College London. This was fully funded through the School of Public Health Master’s Scholarship, awarded to the single candidate who demonstrates the greatest leadership potential within their field. My thesis investigated the use of multimodal machine learning on venous duplex reports to automatically stratify patients with chronic venous disease by severity.

However, since graduating from Oxford, I have remained closely engaged with colleagues there, publishing several papers on the quality and validity of evidence in vascular surgery, and I am delighted to have returned to Oxford to continue this important work.