Dr Daniel James Stubbs

Daniel studied medicine at the University of Oxford with an intercalated degree in medical sciences (physiology). Following graduation, he was appointed to an Academic Foundation Program based in Cambridge and subsequently undertook combined clinical and academic specialist training within the East of England. He has been awarded academic prizes by both the University of Oxford (Meakins McClaran Medal, Wronker research prize) and the Royal College of Anaesthetists (Nuffield & Macintosh medals) for his performance in undergraduate and postgraduate training.  

Following an NIHR academic clinical fellowship in anaesthesia (2015) he subsequently completed an MPhil in Epidemiology (2019) and a PhD in Health Systems Engineering (2022) funded by a Wellcome Trust clinician PhD fellowship. 

He is a current clinical lecturer in anaesthesia, jointly based between the division of anaesthesia and Cambridge University Hospitals NHS Foundation Trust and is a fellow in clinical medicine at Wolfson College, Cambridge. 

His subspecialty interest in neuroanaesthesia and perioperative medicine has led him to a co-opted council position at the Neuro Aanaesthesia and Critical Care Society (NACCS) having previously been the postgraduate doctor in training representative to both NACCS and the Age Anaesthesia Association.

He has extensive experience in undergraduate and postgraduate medical education in both Oxford and Cambridge. Through this work, he has mentored numerous students on self-contained research projects, many of which have led to national presentations, publications, or research prizes.

Daniel's research focuses on how 'routinely collected' healthcare data can be used to understand, and improve, the complex systems which deliver healthcare to patients. Linking his clinical interests he is focused on understanding the reciprocal connections between hospital care and community outcomes before and after surgery.

His PhD in health systems engineering looked at the methodological role of a 'systems approach' in using electronic health records to understand the health trajectory of older patients following surgery. This included devising new ways in which routine data can be used to represent or capture key (and novel) events that happen to patients while they are in hospital.