Dr Jonathan Batty
- Position: Clinical Research Fellow
- Areas of expertise: Myocardial infarction; multimorbidity; cardiovascular epidemiology; clinical data science; machine learning
- Email: J.Batty@leeds.ac.uk
- Location: 11.A39 Worsley Building
- Website: PubMed Bibliography | Twitter | ORCID
Profile
I have been committed to pursuing a combined clinical and academic career since early in medical school. As a second year undergraduate at the University of Leeds, I was awarded an EXSEL Scholarship (sponsored by Heart Research UK) to undertake a research project in cardiovascular pharmacogenetics. I was inspired to complete an intercalated degree (BSc Clinical Sciences, sponsored by the Wolfson Foundation), for which I was awarded First Class Honours and the WIllis Prize. I completed my undergraduate medical training in 2014, graduating with Honours, then completed the cardiology-themed Academic Foundation Program in Newcastle upon Tyne. I was then awarded the Knox Memorial Fellowship from Harvard University, enabling me to pursue a Master of Public Health (MPH) degree at the Harvard TH Chan School of Public Health, with a concentration in Quantitative Methods (Biostatistics and Epidemiology). Following this, I returned to the UK and completed Core Medical Training, becoming a Member of the Royal College of Physicians in 2018 and gaining the Diploma in Geriatric Medicine in 2019. I was subsequently awarded my National Training Number in Cardiology in the Northern Deanery. Early in cardiology training, I recognised the need for clinicians to have greater understanding of the application of data science and machine learning algorithms to diverse healthcare data and as such, embarked upon a BSc(Hons) in Computer Science (with a concentration in Data Science) alongside cardiology registrar training, for which I completed and was awarded First Class Honours in 2022.
Research interests
My research focusses around improving clinical outcomes in patients that have a heart attack (myocardial infarction, MI) and other forms of cardiovascular disease. Through the application of advanced analytic methods (including those from classic epidemiology and biostatistics, and novel, machine learning-based approaches) to a range of data sources, I hope to develop greater understanding of how we can better care for our patients in cardiology.
Qualifications
- BSc(Hons) Clinical Sciences in Relation to Medicine - 1st Class
- BSc(Hons) Computer Science (Data Science) - 1st Class
- MBChB(Hons) Medicine and Surgery
- MPH (Biostatistics and Epidemiology)
- MRCP(UK)
Professional memberships
- Royal College of Physicians
- Medical Defence Union
- General Medical Council (GMC 7454712)
Student education
I am actively involved in teaching at both pre-clinical and clinical levels on the undergraduate medical programme at Leeds.
I am involved in the mentorship of medical students and junior doctors across the region and always willing to discuss research opportunities with those interested in pursuing a career in cardiology.
Research groups and institutes
- Leeds Institute of Cardiovascular and Metabolic Medicine