Jonathan Disselhorst
Research Engineer at Siemens Healthineers
Lausanne, Vaud, Switzerland
Summary
👤
Senior🎓
Top SchoolJonathan Disselhorst is a research engineer with 11+ years of experience at the intersection of medical imaging, image analysis, and machine learning, currently working at Siemens Healthineers in Lausanne. He holds a PhD in Medical Imaging and has a strong track record designing and applying convolutional neural networks for detection and segmentation across PET, MRI and CT, including multi-site and multi-parametric datasets. His research emphasizes assessing tumor heterogeneity by linking in vivo imaging with histology and omics, and he has built bespoke hardware and software tools—such as an image-guided milling machine and parametric map pipelines—to bridge imaging and tissue-level analyses. Experienced in production-oriented ML workflows (PyTorch, Python) and robust pre-processing (normalization, outlier detection), he also explores model stability under noise and distortion. Colleagues describe him as a hands-on scientist who combines deep domain expertise with practical engineering to translate complex imaging science into clinically relevant solutions.
12 years of coding experience
8 years of employment as a software developer
VWO, VWO at Bonhoeffer CollegePhD, Medical Imaging, PhD, Medical Imaging at Universiteit Twente / Twente University
English, German, Dutch
Github Skills (8)
vscode9
vscode-extension9
electron9
typescript9
visual-studio-code9
microsoft8
editor8
python-extension2
Programming languages (1)
Github contributions (5)
WSIC/MATLAB
Jul 2014 - Sep 2018
Contributions:10 commits, 1 push in 4 years 2 months
JDisselhorst/vscode-icons
Apr 2020 - Apr 2020
Icons for Visual Studio Code
Contributions:1 push, 1 branch in 1 day
visual-studio-codevisual-studio-extensionvscodevscode-extensionicons
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