DrLibor Pastika

Dr. Libor Pastika is an academic clinician specialising in the intersection of Cardiology and data science. He is currently a Clinical Research Training Fellow and PhD candidate at Imperial College London, supported by a Medical Research Council Clinical Research Training Fellowship grant. His doctoral research focuses on the application of artificial intelligence-enhanced electrocardiography (AI-ECG) for the prediction of non-cardiovascular outcomes, particularly cardiometabolic diseases. He is also dedicated to understanding and reducing racial and ethnic bias in cardiovascular risk prediction using novel AI methods.

Dr. Pastika's main research interest is the application of machine learning to advance the field of cardiology, including applying deep learning to the surface electrocardiogram (ECG). He has pioneered AI models that predict body mass index from ECG data and introduced delta-BMI as a novel biomarker for cardiometabolic risk stratification. His work has been published in leading journals, including npj Digital Medicine and The Lancet Digital Health.

His work on AI-ECG risk prediction has been awarded multiple awards, including first prizes in Young Investigator Awards for Population Science and Public Health, and for Primary Care and Risk Factor Management at ESC Preventive Cardiology 2025, as well as the American Heart Association Scientific Sessions 2024, conferred by the Council on Lifestyle and Cardiometabolic Health.

He obtained his MSc with Distinction in Health Data Analytics & Machine Learning from Imperial College London, enhancing his expertise in applying advanced computational techniques to medical research. Prior to this, he completed his medical education at the University of Bristol.