Summary
Mark Philipsen is a machine learning researcher and founder with 11 years of experience applying deep learning, classical image processing and 3D vision to problems across images, point clouds and graphs. As CEO and sole employee of Principal Perception ApS and a former postdoc at Aalborg University’s Visual Analysis and Perception lab, he blends academic rigor with product-minded engineering for industrial research projects. His work focuses on self-supervised methods as alternatives to supervised learning, building on a background that spans pre-deep-learning techniques through the 2016 onward deep learning wave. He has hands-on experience with permutation-invariant networks for point clouds and graph neural networks, and a track record supervising students and teaching deep learning and computer vision. A practical tinkerer who started in RF driver development and even factory floor work, he brings a rare combination of low-level debugging grit and advanced ML research. Based in Aalborg, Denmark, he pairs industry-facing PhD experience in adaptive learning for robotics with international research exposure from UC San Diego.
11 years of coding experience
8 years of employment as a software developer
Studentereksamen(STX), Mathematics / Physics, Studentereksamen(STX), Mathematics / Physics at Brønderslev Gymnasium
University of California San Diego
Master of Science (M.Sc.) (Cand. Polyt.), Vision, Graphics and Interactive Systems, 10, Master of Science (M.Sc.) (Cand. Polyt.), Vision, Graphics and Interactive Systems, 10 at Aalborg Universitet
Danish, English, German