Summary
Linnea Kuritzén is an autonomous systems researcher and engineer with a PhD in Automatic Control from KTH and a decade of hands-on experience translating control theory into flight-tested robotics and aerospace solutions. She specialises in model predictive and cooperative control, with a thesis on safe rendezvous trajectories and a track record of internships and experiments at NASA, DLR and Caltech. Currently leading AI and automation at AirForestry, she applies autonomous heavy-lift eVTOL design to replace ground vehicles and reduce environmental impact. Comfortable across programming, physical testbeds and flight experiments, she thrives at the intersection of theory and implementation, turning convex optimization advances into deployable controllers. Colleagues value her ability to bridge rigorous academic evaluation with product-focused engineering in safety-critical domains.
10 years of coding experience
Bachelor's degree, Engineering Physics, Bachelor's degree, Engineering Physics at KTH Royal Institute of Technology
Electrical Engineering, Electrical Engineering at Technical University Munich
Swedish, English, German