mercredi 7 mai 2025

par Nathalie BUTEL (dernière mise à jour par Frédéric MALLET)

Professor Rob MacLeod of the SCI Institute (SCI Lab.), a visiting researcher in the SIS cluster. He works on modeling, data science, AI, image and signal processing, including cardiac electrophysiology, will present some of his research on May 7, 2025, from 2:00 to 3:30 pm, room 007, at the i3S Lab. 

The abstract and biosketch are presented below.

 

TITLE : The Data in my (Scientific) Life

Rob MacLeod, PhD
Professor of Biomedical Engineering and Cardiovascular Medicine
Deputy Director of the Scientific Computing and Imaging Institue. 
University of Utah, Salt Lake City, UT, USA

With the hindsight of age, it has become clear that a unifying theme in my scientific life has been data.  I have always collected data, sometimes with a specific scientific or physiological question to answer and other times to validate a simulation approach we were developing. I have collected data from healthy subjects, from patients, from cells, and from large animals.  I have gathered and then processed data for such diverse purposes as developing novel measurement systems and determining whether images contain enough information to predict the outcome of an ablation.  And now, in this data-driven age, I spend most of my time looking for those data, annotating them, and letting them reveal even more than they did the first time. 

In this talk, I share some highlights of this journey and some insights about data from our world of cardiology, signal processing, imaging, visualization, and, of course, of data science, AI, and machine learning.   I hope you will share my fascination with all aspects of data and suggest more and new ways we can use them to address the biomedical challenges of our day. 

Biosketch for Rob MacLeod

Rob MacLeod was trained in Canada and Austria in physics, electrical engineering, and physiology & biophysics and has been on the faculty at the University of Utah since 1991.  He is a full professor of Biomedical Engineering and Cardiovascular Medicine at the University of Utah.  He is a co-founder and Deputy Director of the Scientific Computing and Imaging (SCI) Institute and has held a similar position at the Nora Eccles Treadwell Cardiovascular Research and Training Institute (CVRTI).  He also co-founded the Consortium for ECG Imaging and is Past President of the Computing in Cardiology Society, which are both international groups dedicated to using computing approaches to explore all aspects of cardiac function, diagnosis, and care.  He is a Fellow of the American Institute for Medical and Biological Engineering (AIMBE) and a Life Member of IEEE.  Dr. MacLeod has a deep commitment to education, training, and mentorship and for the past 19 years has been Vice Chair and Director of the Undergraduate program in Biomedical Engineering.  He contributes to numerous initiatives around the practice of teaching and learning, most recently the use of AI in teaching and learning.  His research interests include experimental and computational electrocardiology with a special interest in both simulating and measuring bioelectric fields in the heart and body. He uses both experimental investigation and clinical approaches to improve the management of ventricular and atrial arrhythmias and to explore the mechanisms and indicators of acute myocardial ischemia.  The broad range of techniques he and his teams use include scientific computing, imaging, image and signal processing, data science, and visualization as well as high-resolution capturing of bioelectric signals.