Summary
Alyssa Giedd is a graduate student researcher and robotics engineer specializing in bio-inspired locomotion, sensory perception, and motion planning with 11 years of hands-on experience. Based at the University of Washington’s Autonomous Insect Robotics Lab, she combines CAD, computer vision, and AI to characterize insect flight (including dragonfly dynamics) and translate those insights into ultra-small robotic platforms. Her industry experience includes deploying real-time neural-network-based object detection on resource-constrained NVIDIA hardware at Lam Research, alongside mentoring teams in data pipelines and model deployment. She’s equally comfortable in the field and the lab—designing sub-2g quadcopters, piloting ROVs for environmental sensing, and presenting work at conferences. Passionate about conservation-driven robotics, she pairs advanced data-science training with practical fabrication and electronics skills to build novel robots that both explore and protect natural systems.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Mechanical Engineering (Advanced Data Science), Doctor of Philosophy - PhD, Mechanical Engineering (Advanced Data Science) at University of Washington
High School Diploma, 10-12, High School Diploma, 10-12 at Tesla STEM High School