Rob Macleod

Past President at Scientific Computing and Imaging Institute at the University of Utah

Salt Lake City, Utah, United States
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Summary

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Rob Macleod is a veteran biomedical engineer and academic leader with 25 years of experience at the intersection of cardiac electrophysiology, signal and image analysis, and computational cardiology. As Professor at the University of Utah and co‑founder/associate director of the Scientific Computing and Imaging Institute, he has built interdisciplinary teams that translate image‑based modeling and simulation into clinically relevant insights. Currently serving as Past President of Computing in Cardiology, he combines deep methodological expertise with stewardship of an influential international research community. His training spans engineering physics, electrical/audio engineering, and a PhD in biophysics and physiology, reflecting a rare blend of hardware, signal processing, and physiological modeling skills. Colleagues value him for bridging rigorous computational science with practical clinical questions and for fostering open collaboration across imaging, simulation, and electrophysiology. An underappreciated strength is his long‑standing role in growing institutional research infrastructure that enables high‑impact translational studies.
code25 years of coding experience
bookPhD, Biophysics and Physiology, PhD, Biophysics and Physiology at Dalhousie University
bookMaster’s Degree, Electrical and Audio Engineering, Master’s Degree, Electrical and Audio Engineering at Technical University of Graz
languagesGerman
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Stackoverflow

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Github Skills (22)

asynchronous9
music5
player4
computational-neuroscience4
qt4
linux4
windows4
audio4
python3
neuroscience3
dataflow-programming3
machine-learning2
cmake2
linear-systems2
visualization2

Programming languages (3)

C++MATLABPython

Github contributions (5)

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rsmacleod/neuroSummerSchools

Apr 2017 - Apr 2017

Contributions:1 push in 1 day
neurosciencepythonmachine-learningfieldssummer
Uintah/Uintah

Mar 2001 - Aug 2002

Asynchronous Many Task Framework for set of libraries and applications for simulating and analyzing complex chemical and physical reactions modeled by partial differential equations on structured adaptive grids using hundreds to hundreds of thousands of processors.
Contributions:34 commits in 1 year 4 months
asynchronous
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