Summary
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.
9 years of coding experience
3 years of employment as a software developer
Abitur, Abitur at Max-Planck-Schule Kiel
Master of Science - MS Informatics, Master of Science - MS Informatics at University of Hamburg
Doctor of Philosophy - PhD AI in medical imaging, Doctor of Philosophy - PhD AI in medical imaging at Københavns Universitet - University of Copenhagen
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Macquarie University
English, German