Elizabeth Goeddel is a recent PhD graduate in Computer Science and Engineering from the University of Michigan with 11 years of research and teaching experience in AI and robotics. Her dissertation connected symbolic cognitive reasoning in the Soar architecture to geometric motion planning, enabling agents to reason about low-level robot arm motion through an enhanced visuo-spatial module. She designed and implemented ROS-based robotic systems and reusable agent interfaces for lab-wide use, and taught autonomous robotics courses covering motion planning, kinematics, and ROS development. Comfortable bridging theory and practice, she combines deep knowledge of symbolic architectures with hands-on systems engineering for mobile manipulation. Notably, her work made Soar agents directly influence geometric motion planners, a less obvious but impactful contribution toward cognitive robots that plan and act coherently. Based in Ann Arbor, she’s seeking opportunities to apply cognitive-agent research to real-world robotic systems and products.
11 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science and Engineering, Doctor of Philosophy (PhD), Computer Science and Engineering at University of Michigan
Bachelor of Arts (B.A.), Computer Science, Magna Cum Laude, Bachelor of Arts (B.A.), Computer Science, Magna Cum Laude at Bowdoin College
Contributions:121 pushes, 11 branches in 3 years 2 months
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