UCL Institute of Health Informatics

Prof Amitava Banerjee

Prof Amitava Banerjee

Professor of Clinical Data Science

Institute of Health Informatics

Faculty of Pop Health Sciences

Joined UCL
17th Aug 2015

Research summary

My research has emphasised application of routine data to improve knowledge and care of cardiovascular disease(CVD) and noncommunicable diseases(NCDs) through epidemiology, data science and integrated care.

During and since my DPhil, I learned the importance of routine care data, focusing on population-based CVD epidemiology, particularly comparison of incidence, risk factors and aetiology across arterial territories. My research has spanned atrial fibrillation, heart failure, peripheral arterial disease, aortic disease and comparison across CVDs.

At UCL, my clinical data science research programme has investigated quality improvement in CVD, electronic health record(EHR) phenotypes, natural history and comorbidities, health inequalities and machine learning for subphenotyping and risk prediction.

The theme of better data for better care underpins my work, whether CVD in homeless individuals, NCD care in India, the Global Burden of Disease Study or COVID. I lead the NIHR-funded STIMULATE-ICP study. This pragmatic trial, the largest in long COVID to-date, will evaluate and improve integrated care from investigation and assessment to treatment and rehabilitation, highlighting potential of learning health system approaches, even in new diseases. 

COVID has accelerated and consolidated need for improved care across data, diseases and drugs at scale. Working with patients, practitioners and policymakers, my clinical and academic experience and expertise in epidemiology, data science and integrated care make me the right person to lead in pragmatic, data-driven clinical trials in routine care of heart failure beyond the pandemic.

Teaching summary

I have taught extensively at undergraduate and postgraduate level in a wide range of courses (MBBCh, BDS, BMedSci in International Health, MSc Public Health) and subjects from cardiovascular pharmacology and epidemiology to global burden of diseases and access to medicines. At UCL, I established the novel "Doctor as Data Scientist" module in the MBBS programme, and the "Learning Health Systems" module in the MSc in Health Informatics. I supervise both MSc and PhD students in informatics, digital health, clinical epidemiology, global health, biostatistics and evidence-based medicine. I am Senior Advisor to the World Heart Federation’s (WHF) Emerging Leaders Programme, which is training the next cadre of international cardiovascular researchers to achieve the WHO’s goal of reducing premature global cardiovascular mortality by 25% by 2025 (the “25 by 25” initiative). I was previously Education Lead for the Health Informatics Unit at the Royal College of Physicians, and a Member of the Education Committee at the British Cardiovascular Society. As a member of the Science Communication Centre Expert panel, I often comment on news media stories regarding healthcare research, and also blog regularly, including for the BMJ, Huffington Post and The Guardian.


University of Birmingham
Other Postgraduate qualification (including professional), Postgraduate Certificate | 2015
University of Oxford
Doctorate, Doctor of Philosophy | 2010
Royal College of Physicians
Doctorate, Member of the Royal College of Physicians | 2007
Harvard University
Other higher degree, Master of Public Health | 2005
University of Oxford
Doctorate, Bachelor of Medicine, Bachelor of Surgery | 2002
University of Oxford
Other higher degree, MA Oxon | 1999


I am Professor in Clinical Data Science at University College London, and Honorary Consultant Cardiologist at University College London Hospitals and Barts Health NHS Trusts. To capitalise on the tremendous data science opportunities for research and clinical practice across health system silos, clinician scientists need knowledge and expertise in all three spheres of the “learning health system” (science, evidence and care) to navigate the path from science through to healthcare delivery. I am a pragmatic researcher, a passionate educator and a practising clinician, with interests spanning health informatics, learning health systems, cardiovascular epidemiology, global health, training and evidence-based healthcare.

After qualifying from Oxford Medical School, I trained as a junior doctor in Oxford, Newcastle, Hull and London. My interest in preventive cardiology and evidence-based medicine led to a Masters in Public Health at Harvard(2004/05), an internship at the World Health Organisation(2005) and DPhil in epidemiology from Oxford(2010). I was Clinical Lecturer in Cardiovascular Medicine at the University of Birmingham, before taking up the position of Senior Lecturer in Clinical Data Science and Honorary Consultant in Cardiology at the Farr Institute of Health Informatics in August 2015. I was promoted to Professor in 2021. 

I work across two busy tertiary care settings: University College London Hospitals and Barts Health NHS Trusts with both inpatient and outpatient commitments. Although I am subspecialised in heart failure, I have ongoing practice in acute general cardiology and have a keen interest in the diagnosis and management of atrial fibrillation. My clinical work very much informs my research and vice versa, whether in the evaluation of medical technology or the ethics of large-scale use of patient data. 

I live in London with my wife and our daughter.