Computational Electrocardiology Group

Welcome to The Computational Electrocardiology Group Directed by Professor Rob MacLeod

Our research seeks to apply mathematical and computational tools to understand physiological and pathophysiological processes in the field of cardiology. The CEG focused on research domains such as electrocardiographic imaging, body surface mapping, myordial ischemia, ventricular arrhythmias, and other cardiac pathologies using tools such as simulation, uncertainty quantification, large animal experimental models, machine learning, and shape analysis. For specific information about our ongoing research efforts, please visit our research page!

We are an interdisciplinary lab that is joint between the College of Engineering and the School of Medicine. We are affiliated with the Department of Biomedical Engineering, the Nora Eccles Harrison Cardiovascular Research and Training Institute, and the Scientific Computing and Imaging Institute. We have students from a variety of different research interests and backgrounds. For example, we've worked with students focused on computational, medical, and experimental tracks, just to name a few. Our diversity breeds innovation, and to this end, we value and respect individuals from diverse backgrounds. We are an inclusive and supportive research group that is committed to promoting diversity and equality in STEM.

If you are a student interested in joining our group, please visit our prospective students page for undergraduate research opportunities. Prospective students at the University of Utah are encouraged to take Dr. MacLeod's Fundamentals of Biomedical Engineering II (BME 2100) course, available every Fall semester. Taking the course is not a prerequisite to work in the lab, but it does provide an excellent opportunity to gain relevant background to our research.