Jakob Ambsdorf

PHD Fellow at Department of Computer Science, University of Copenhagen - DIKU

Copenhagen, Capital Region of Denmark
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Summary

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Jakob Ambsdorf is a PhD fellow at the University of Copenhagen with nine years of experience applying computer vision and self-supervised learning to medical imaging, focusing on foundation models for fetal ultrasound. His work bridges academic research and applied engineering, drawing on prior roles in multimodal fusion, explainable AI, sim-to-real transfer, and industrial robotics. He has international research experience, including a visiting fellowship at Brown University, and a strong background in HCI and front-end development from earlier industry work. Jakob combines deep technical expertise with practical system-building—ranging from ROS nodes and synthetic data pipelines to prototype assembly assistants—bringing a pragmatic, multidisciplinary approach to advancing medical AI.
code9 years of coding experience
job3 years of employment as a software developer
bookAbitur, Abitur at Max-Planck-Schule Kiel
bookMaster of Science - MS Informatics, Master of Science - MS Informatics at University of Hamburg
bookDoctor of Philosophy - PhD AI in medical imaging, Doctor of Philosophy - PhD AI in medical imaging at Københavns Universitet - University of Copenhagen
bookBachelor's degree Computer Science, Bachelor's degree Computer Science at Macquarie University
languagesEnglish, German
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Stackoverflow

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21reputation
191reached
0answers
1question
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Github Skills (18)

trend7
segmentation7
visual-recognition7
computer-vision6
collada6
face-recognition6
face-detection6
python6
mesh6
trimesh6
object-detection5
deep-learning5
pose4
voting3
pixel2

Programming languages (5)

TypeScriptC#HTMLJupyter NotebookPython

Github contributions (5)

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jakobamb/GoJelly-Web

Sep 2018 - Oct 2020

Contributions:2 PRs, 19 pushes, 3 branches in 2 years 1 month
jakobamb/LostIKUM

Aug 2020 - Jan 2022

Contributions:23 pushes, 2 branches in 1 year 5 months
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Jakob Ambsdorf - PHD Fellow at Department of Computer Science, University of Copenhagen - DIKU