Ryan聽Robison
MR Clinical Science Leader For North America at Vanderbilt University Medical Center
Nashville-Davidson, Tennessee, United States
Summary
馃懁
Senior馃帗
Top SchoolRyan Robison is an MR clinical science leader with 11 years of focused experience translating advanced MRI physics and reconstruction methods into clinically robust imaging solutions. Currently leading MR clinical science for North America at Philips and holding concurrent research roles at Vanderbilt, he blends industry leadership with active academic collaboration. His work spans non-Cartesian imaging, EPI-based sequences, motion correction, and clinically oriented reconstruction鈥攅fforts that have repeatedly aimed to improve diagnostic image quality and patient care. Prior roles at Phoenix Children鈥檚, Barrow Neurological Institute, and Philips reflect a track record of moving prototype MR methods into practical clinical use. He holds an M.S. and Ph.D. in Electrical Engineering from Arizona State and brings both deep technical rigor and hands-on implementation experience. Notably, he maintains a dual industry-academic footprint that accelerates adoption of research innovations in real-world clinical settings.
10 years of coding experience
13 years of employment as a software developer
Ph.D Electrical Engineering, Ph.D Electrical Engineering at Arizona State UniversityB.S. Electrical Engineering, B.S. Electrical Engineering at Brigham Young University
English, Dutch
Github Skills (13)
nodes9
manipulation6
visualization5
javascript5
data-visualization4
data-manipulation3
python1
machine-learning1
electrophysiology1
nifti1
numerical1
neuroimaging1
mri1
Programming languages (1)
Github contributions (5)
gpilab/core-nodes
Jun 2015 - Mar 2020
The core nodes are a collection of basic data manipulation and visualization algorithms.
Contributions:25 commits, 3 pushes, 9 comments in 4 years 10 months
manipulationjavascriptnodesalgorithms-visualizationdata-visualization
rkrobison/gpi-neurotools
Jan 2019 - Jan 2019
Wrappers for working with popular neuroimaging tools (e.g. FSL) and reading/writing popular file formats (e.g. NIfTI) in GPI
Contributions:1 push in 1 day
neuroimagingpythonfslfile-formatsmachine-learning
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