Shield AI
Christina Wettersten is a Senior Software Engineering Manager at Shield AI since September 2019, leading various roles in planning and controls. Prior to this, Christina held positions at the Korea Advanced Institute of Science and Technology as a Visiting Graduate Student Researcher, and at MIT CSAIL as a Graduate Research Assistant working on task and motion planning systems. Christina's experience also includes software engineering roles at Microsoft focused on AI applications and ambient intelligence, as well as internships at NASA Ames Research Center and the MIT Media Lab. Christina holds a Master of Engineering and a Bachelor of Science in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology.
Shield AI
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Shield AI builds self-driving technology that enables swarms of unmanned systems to operate on the edge without GPS, communications, or remote pilots. Further, by applying reinforcement learning to scalable simulations, Shield AI trains unmanned systems to learn new tactics and behaviors to autonomously accomplish new missions ranging from clearance operations with SUAS to breaching integrated air defense systems with Group 2-5 UAS.