Amitava Banerjee

Professor Amitava Banerjee is a leading academic at University College London (UCL), holding the title of Professor of Clinical Data Science at the Institute of Health Informatics. He combines this role with clinical practice as an Honorary Consultant Cardiologist at University College London Hospitals and Barts Health NHS Trusts. Banerjee's expertise bridges health informatics, learning health systems, and cardiovascular epidemiology, with a focus on data-driven improvements in healthcare delivery.

• Education:
  • Doctor of Philosophy (DPhil) in Epidemiology, University of Oxford (2010)
  • Master of Public Health (MPH), Harvard University (2005)
  • Bachelor of Medicine, Bachelor of Surgery (MBBS), University of Oxford (2002)
  • MA Oxon, University of Oxford (1999)
• Appointments:
  • Senior Advisor, World Heart Federation (2018–present)
  • Adjunct Associate Professor, Amrita Institute of Medical Sciences (2018–present)
  • Senior Clinical Lecturer, UCL (2015–present)
  • Adjunct Senior Research Fellow, University of Central Lancashire (2014–2019)

His research spans epidemiology, data science, and integrated care, emphasizing the use of routine data to improve cardiovascular and noncommunicable disease (NCD) outcomes. Key projects include pragmatic clinical trials like the NIHR-funded STIMULATE-ICP study on long COVID and machine learning applications for subphenotyping in cardiovascular disease.

Recent publications highlight his contributions to Long COVID, electrolyte abnormality prediction, T-cell receptor analysis, and health equity. His work often intersects with global health, machine learning, and multiorgan imaging for risk assessment.

• Scientific Awards and Fellowships:
  • World Heart Federation Emerging Leader (2014)
  • Fellow of the Faculty of Clinical Informatics (FFCI, 2018)
  • Fellow of the Royal College of Physicians (2018)
  • Fellow of the European Society of Cardiology (FESC, 2016)
  • Fellow of the Higher Education Academy (FHEA, 2015)

Banerjee is a dedicated educator, establishing innovative modules like Doctor as Data Scientist (UCL MBBS) and Learning Health Systems (UCL MSc). He supervises MSc and PhD students in informatics, digital health, and evidence-based medicine.