Philip Noonan
Senior Machine Vision Engineer at Hypervision Surgical
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolPhilip Noonan is a Principal Machine Vision Engineer based in London with a decade of experience applying computer vision to medical imaging, particularly patient motion tracking and correction for PET/MR. He bridges academic rigor and industry delivery, having progressed from postdoctoral roles at Imperial, UCL and King’s College London to senior engineering leadership at Hypervision Surgical. His work blends physics, clinical collaboration, and modern CV techniques to create practical systems that reduce motion artifacts and improve scan reliability. Known for translating prototype research into clinically deployable solutions, he combines grant-funded innovation (e.g., Kinect v2 tracking development) with hands-on product engineering.
10 years of coding experience
9 years of employment as a software developer
Master's degree, Physics, Master's degree, Physics at The University of Manchester
Github Skills (76)
pose10
datasets10
human-pose-estimation10
machine-vision10
face10
caffe10
kinect10
torchvision10
computer-vision10
openpose10
keypoint10
steamvr9
sdk9
api9
opencv9
Programming languages (8)
Github contributions (5)
philipNoonan/pyglFlow
Nov 2020 - Jul 2021
Python front with OpenGL compute shaders to perform dense optical flow on the GPU
Contributions:26 commits, 1 PR, 20 pushes in 7 months
pythoncompute-shadersgpushadersoptical-flow
philipNoonan/oglFusionRealsense
Jun 2018 - Oct 2020
Contributions:132 commits, 114 pushes, 4 branches in 2 years 4 months
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