Summary
Frederik Warburg is Head of Artificial Intelligence at Teton.ai with eight years of experience applying research-grade computer vision and uncertainty-aware deep learning to real-world products in healthcare and autonomous systems. He earned a PhD from DTU—recognized as PhD Thesis of the Year (2024) and Nordic PhD Thesis (2025)—for work on 3D reconstruction, image retrieval, and uncertainty quantification, and completed visiting research at UC Berkeley and P1. His background combines industry research internships at Meta, SLAMcore and Mapillary with hands-on engineering roles, giving him a knack for moving models from lab to production. At Teton he leads efforts in 3D reconstruction, action recognition, and visual-language models aimed at improving tools for patients and nurses. He holds top-tier degrees in applied mathematics and mathematical modelling and is comfortable bridging rigorous probabilistic modeling with practical system design. An understated strength is his track record building large, real-world datasets for lifelong place recognition, reflecting a deep appreciation for data quality as the foundation of robust AI.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Applied Mathematics, 4.0 / 4.0, Master of Science - MS, Applied Mathematics, 4.0 / 4.0 at University of California, Berkeley
Bachelor of Science - BS, Mathematics and technology, Bachelor of Science - BS, Mathematics and technology at Danmarks Tekniske Universitet
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Lindenwood University
Gymnasieeksamen, Matematik, fysik og latin, Gymnasieeksamen, Matematik, fysik og latin at Ingrid Jespersens Gymnasieskole
Technical University of Denmark
Danish, English