Dr Stephen N Greenhalgh (MA VetMB PhD MRCVS)

- Wellcome Trust Critical Care Laboratory for Large Animals
- Roslin Institute
- Royal (Dick) School of Veterinary Studies
Contact details
Background
I qualified as a vet from the University of Cambridge in 2007. After working in mixed practice in Oxfordshire for three years, I briefly returned to the University of Cambridge before undertaking a rotating small animal internship at the Royal Veterinary College (RVC). I then worked as a small animal clinician in medicine at the RVC’s Beaumont Sainsbury Animal Hospital in north London.
I moved to the University of Edinburgh in 2013, initially working at the Dick Vet General Practice before undertaking a Wellcome Trust-funded PhD in the cellular and molecular mechanisms of liver regeneration at the Centre for Inflammation Research, Queen’s Medical Research Institute.
In 2017, I returned to the Royal (Dick) School of Veterinary Studies [R(D)SVS] as a Lecturer in Animal Bioscience, working primarily in the Wellcome Trust Critical Care Laboratory for Large Animals (WTCCLLA) and also undertaking a European College of Veterinary Anaesthesia and Analgesia residency programme that I completed in 2021.
Since then, I have continued my role in WTCCLLA and as a clinician in the R(D)SVS. I also co-Chair the Veterinary Ethical Review Committee.
A list of publications is available at: https://www.ncbi.nlm.nih.gov/myncbi/1XQ8crbJhjG5X/bibliography/public/
Responsibilities & affiliations
Co-Chair of the Veterinary Ethical Review Committee at the Royal (Dick) School of Veterinary Studies
Member of the Royal College of Veterinary Surgeons (MRCVS)
Member of the Association of Veterinary Anaesthetists (AVA)
Member of the British Veterinary Association (BVA)
Member of the Laboratory Animal Veterinary Association (LAVA)
Member of the European Society of Intensive Care Medicine (ESICM)
Undergraduate teaching
Professional Mentor
Graduate Entry Programme | Animal Body Systems and Cases | Respiratory System
Clinical rotations in anaesthesia
Student Research Component (SRC) supervision
Postgraduate teaching
Veterinary Anaesthesia & Analgesia Taught Programme - https://www.ed.ac.uk/vet/studying/postgraduate/taught-programmes/veterinary-anaesthesia-analgesia/
Course organiser:
- Ventilators & Ventilation
- Non-technical skills for safer veterinary care
MSc Dissertation Supervisor
MSc Dissertation Examiner
DVetMed Dissertation Examiner
Open to PhD supervision enquiries?
No
Past PhD students supervised
MSc Dissertation - Local anaesthetics in cats and their challenges for the veterinary practitioner
MSc Dissertation - Can we go lower? A clinical audit exploring the utilisation of low-flow fresh gas flow rates within a referral practice
Research summary
My primary role is working with Prof Eddie Clutton (https://www.ed.ac.uk/profile/prof-eddie-clutton) in the Wellcome Critical Care Laboratory for Large Animals.
We develop, refine and utilise large animal models for translational research. Our expertise lies in prolonged anaesthesia and intensive care. We have worked with models of acute kidney injury, acute liver failure, acute lung injury (ARDS), cardiogenic shock, ventricular fibrillation and resuscitation.
I have also published clinical research on management of portosystemic shunts in dogs and hypotension under general anaesthesia in dogs.
https://www.ncbi.nlm.nih.gov/myncbi/1XQ8crbJhjG5X/bibliography/public/
Current research interests
Porcine models of acute kidney injury and acute liver failure | Human Factors and non-technical skills in veterinary anaesthesiaPast research interests
Porcine models of acute lung injury, cardiogenic shock, and urinary tract infection.Invited speaker
Association of Veterinary Anaesthetists Spring Meeting 2024 - Human Factors and non-technical skills in veterinary anaesthesia practice
Laboratory Animal Veterinary Association Spring Meeting 2023 - Managing pain in laboratory pigs
Society for Endocrinology 2022 Research Skills Webinar - Large animal experimental models
Large Animal Research Network 2022 - Challenges of large animal translational models