Martin Rajchl
Chief Scientist at Vega Insight
Vienna, Austria
Summary
🤩
Rockstar🎓
Top SchoolMartin Rajchl is Chief Scientist at Vega Insight with 12 years of experience applying machine learning, computer vision and optimization to multi-modal data for energy commodities and medical imaging. He bridges academic rigour and product-focused analytics as an Imperial College Research Fellow (Honorary) and former research lead, turning complex imaging methods into deployable tools. A PhD-trained engineer, he co-founded the open-source Deep Learning ToolKit (DLTK) and Advanced Segmentation Tools (ASETS), reflecting a sustained commitment to reproducible research and community tooling. Based in Vienna, he combines domain knowledge in healthcare image analysis with market-focused prediction systems for energy, uniquely positioning him at the intersection of scientific innovation and commodity analytics.
12 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), ENGINEERING, Doctor of Philosophy (Ph.D.), ENGINEERING at Western University
English, German, French
Github Skills (30)
image-analysis10
python10
data-science10
medical-image-processing10
machine-learning10
deep-learning10
tensorflow10
medical-image-analysis10
neuroimaging10
medical-imaging10
computer-vision10
dltk10
medical10
ml9
deep-neural-networks9
Programming languages (3)
Github contributions (5)
ASETS/asetsMatlabMaxFlow
Mar 2015 - May 2015
Contributions:52 commits, 75 pushes, 2 branches in 1 month
ASETS/asetsMatlabLevelSets
May 2015 - Sep 2015
Contributions:3 commits, 6 pushes, 1 branch in 4 months
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