Frederik Hvilshøj

Chief Scientist at Sumary

Ringkøbing, Central Denmark Region
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Summary

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Senior
🎓
Top School
Frederik Hvilshøj is a Chief Scientist with a PhD in explainable deep learning and generative models and nine years of experience translating ML research into production. He progressed from doctoral research at Aarhus University to hands-on engineering and leadership at Encord, where he led ML efforts before stepping into his current role at Sumary. Frederik combines academic rigor in model interpretability with practical expertise deploying ML in real products, including computer vision and annotation tooling. Based in Ringkøbing, Denmark, he brings a pragmatic engineering background that spans mobile app development and teaching, giving him a rare blend of product-focused implementation and clear technical communication.
code9 years of coding experience
job7 years of employment as a software developer
bookSummer Courses Artificial Intelligence Econometrics, Summer Courses Artificial Intelligence Econometrics at UC Berkeley Electrical Engineering & Computer Sciences (EECS)
bookDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Aarhus University
bookHHX Viby
bookTechnical University of Denmark
languagesEnglish, German, Danish
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Stackoverflow

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Github Skills (27)

relevance10
toolbox9
propagation9
pose8
deep-learning6
pose-estimation6
pytorch6
xai6
interpretable-machine-learning5
machine-learning5
lime5
machine-learning-models4
blackboard4
python4
tensorflow4

Programming languages (3)

ShellJupyter NotebookPython

Github contributions (5)

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fhvilshoj/TorchLRP

Sep 2020 - Feb 2021

A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).
Contributions:47 commits, 1 PR, 30 pushes in 5 months
pytorchpropagationdeep-learningwiserelevance
fhvilshoj/lrp

Sep 2017 - Mar 2020

Contributions:250 commits, 2 pushes in 2 years 5 months
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Frederik Hvilshøj - Chief Scientist at Sumary