Summary
Frederik Mathiesen is a PhD candidate at TU Delft specializing in formal methods and probabilistic machine learning to provide safety guarantees for tactical and operational planning in automated vehicles. With a decade of engineering experience and a background from Aalborg University and UC Berkeley, he blends rigorous academic research with hands-on product development. Previously at Ambolt he built the first iteration of TrafficTower and integrated prioritization with IntelliFlow’s optimization, demonstrating skill in real-time systems, cartography, and traffic-AI pipelines. His work focuses on provable, high-confidence assurances in dynamic, unpredictable environments—aiming to make safety both measurable and scalable for real-world deployment. An uncommon strength is his ability to bridge formal verification techniques with practical, production-grade tooling for traffic management and autonomy.
10 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Aalborg University
Computer Science, Computer Science at University of California, Berkeley
HTX, Fysikkens Verden, Gymnasiel Uddannelse, HTX, Fysikkens Verden, Gymnasiel Uddannelse at Aalborg Teknisk Gymnasium
10. klasse, IGCSE, 10. klasse, IGCSE at SKALs Efterskole
Bachelorgrad, Datalogi, Bachelor, Bachelorgrad, Datalogi, Bachelor at Aalborg Universitet
Danish, English, German