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Kenneth Bilchick, MD, MSc

Professor of Cardiovascular Medicine
University of Virginia Health System

I am a clinical cardiac electrophysiologist, clinical investigator, and a statistician. I have been a faculty member of the Department of Medicine at the University of Virginia Health System since 2007 and now hold the position of Professor of Medicine with an appointment as Director of Electrophysiology Research. In addition, I serve on several research committees and groups at the University of Virginia, including our Institutional Review Board for Health Sciences Research, Cardiovascular Research Oversight Committee, iPrecision Immunomedicine Collaborative Research Program, and the Cardiovascular Imaging Center. On a national/international level, I am Chair of the Heart Rhythm Society (HRS) Research Committee and Chair of the Society for Cardiovascular Magnetic Resonance (SCMR) Clinical Trials Committee. I have an ongoing commitment to clinical investigation with a research program focused on applications of cardiac magnetic resonance (CMR), clinical risk models, and electrocardiographic analyses to arrhythmias and heart failure with an emphasis on approaches that use innovative statistical methods and machine learning. Our studies have been accomplished with collaborators across the United States and in Europe. With my expertise as a statistician, my lab has been investigating machine learning applications to CMR and electrocardiographic data in patients with cardiac implantable electronic devices. My research employs advanced cardiac imaging, image integration with 3D invasive electroanatomic mapping, and electrocardiographic waveform analysis/signal processing to improve electrophysiology procedures such as cardiac resynchronization therapy (CRT), left bundle branch pacing, and catheter ablation for atrial fibrillation and ventricular tachycardia. We are also engaged in clinical studies of flow cytometry by time of flight (CyTOF) and anti-inflammatory therapies for heart failure, and studies of therapeutic approaches and AI in hypertrophic cardiomyopathy; other areas of interest are longitudinal data analysis in heart failure and analysis of administrative datasets/registries to identify predictors of clinical benefit with implantable cardioverter defibrillators.

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