Tamas Ungi
Head Of Medical AI at Queen's University
Kingston, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolTamas Ungi is a medical AI leader with 15 years of experience translating advanced imaging research into clinical tools, currently Head of Medical AI at ClaroNav Kolahi Inc and an Adjunct Assistant Professor at Queen's University. Trained as an MD and PhD in Radiology, he has deep hands-on expertise in image segmentation, registration, tracked ultrasound and augmented reality for needle-based interventions, developed across roles at GE HealthCare and Queen's. He combines academic rigor with product-focused engineering, moving algorithms from lab prototypes to clinical deployments. Known for building training and skill-evaluation systems, he brings a pragmatic understanding of regulatory and usability challenges in surgical guidance. Based in Kingston, Ontario, he balances clinical insight with software leadership to accelerate safe, usable medical AI.
15 years of coding experience
11 years of employment as a software developer
PhD, Radiology, PhD, Radiology at University of Szeged
English, Italian, Hungarian
Github Skills (46)
reproducible-research10
visualization10
qt10
tractography10
python10
image-processing10
brain-imaging10
slicer10
volume-rendering10
ply10
open-source10
image-filters10
computed-tomography10
cross-platform10
bids10
Programming languages (4)
Github contributions (5)
SlicerIGT/ExampleGuideletExtension
Jul 2016 - Jan 2018
Contributions:4 commits, 1 PR, 2 pushes in 1 year 6 months
SlicerUltrasound/SlicerUltrasound
Apr 2024 - Mar 2025
Modules for 3D Slicer
Contributions:59 PRs, 39 pushes, 1 branch in 11 months
3d-slicer-extension
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