Summary
Kaspar Hageman is a Data Scientist based in Copenhagen with 11 years of experience blending software engineering and applied research in network security, Bayesian statistics, and reinforcement learning. He holds a PhD in Network Security and has translated academic work on collaborative drone scheduling and traffic analytics into practical solutions for industry, including developing statistical modeling frameworks for media analytics and optimization. Kaspar has a strong backend engineering background, built an open-source virtual penetration lab (Haaukins) during his PhD, and brings hands-on experience deploying CI, message broker architectures, and SSO services. Comfortable moving between mathematical optimization, deep RL, and production engineering, he excels at turning complex probabilistic models and security insights into robust, deployable systems.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Network security, Doctor of Philosophy - PhD, Network security at Aalborg University
Master of Science (MSc), Telematics, Master of Science (MSc), Telematics at University of Twente