Paul Wighton
Senior Research And Development Engineer at The MGH/HST Martinos Center for Biomedical Imaging
Chelsea, Massachusetts, United States
Summary
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Senior🎓
Top SchoolPaul Wighton is a Senior R&D Engineer with 13 years of experience at the MGH/HST Martinos Center, combining deep expertise in image processing, MR physics, statistics and supervised learning with hands-on software engineering. He holds a PhD in Computing Science for work on automated skin lesion diagnosis and completed a postdoc focused on real-time fMRI and per-slice prospective motion correction, driving research into clinically usable tools. Paul led engineering efforts that secured FDA 510(k) clearance for CorticoMetrics’ Freesurfer distribution (THINQ K192051), demonstrating rare experience taking imaging research through regulatory validation. Based in Chelsea, MA, he blends academic rigor—evidenced by a solid publication record and ORCID profiles—with production-grade software development and open-source engagement on GitHub. Notably, his background spans low-level C/C++ systems work through high-level probabilistic modeling, enabling him to bridge algorithmic research and robust clinical software delivery.
13 years of coding experience
12 years of employment as a software developer
BSc, Engineering, BSc, Engineering at University of GuelphPhD, Computing Science, PhD, Computing Science at Simon Fraser University
Github Skills (15)
file-handling10
file-processing10
c1710
c-language10
file-access10
cprogramming-language10
c1110
surf10
fileio10
neuroimaging10
surface10
image-processing9
posix9
posixct9
cmake6
Programming languages (13)
Github contributions (5)
pwighton/neurodocker
May 2020 - Oct 2023
Generate custom Docker and Singularity images, and minimize existing containers
Contributions:1 PR, 109 pushes, 20 branches in 3 years 6 months
containersdockerfiledocker-imagesingularitypodman
corticometrics/neuroimage-tensorflow
Feb 2017 - Mar 2017
Contributions:52 commits, 6 PRs, 4 pushes in 12 days
neuroimagingpythonanalysesdevelopment-frameworktensorflow
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