Summary
Elijah Lee is a Senior Software Engineer and PhD candidate at UPenn with 11 years of experience building perception and autonomy systems for robotics and autonomous vehicles. He blends deep academic research in multi-robot systems, sensor fusion, and GNN-based imitation learning with hands-on production work at Latitude AI, focusing on closing the perception-action loop. His portfolio includes real-world deployments and testing in challenging environments—mines, penstocks, and disaster sites—and contributions to DARPA Subterranean multi-robot exploration. Prior roles at Ford, KAIST, Cornell, and Caltech emphasize robust localization, SLAM, and search-and-rescue platforms spanning aerial and ground robots. Based in Palo Alto, he combines rigorous mathematical tools (optimization, game theory) with practical simulation-to-hardware pipelines (Gazebo/Unity) to deliver reliable autonomy. Colleagues describe him as equally comfortable prototyping novel research and shipping scalable, production-grade perception stacks.
11 years of coding experience
13 years of employment as a software developer
California Institute of Technology
Master of Science - MS Mechanical Engineering, Master of Science - MS Mechanical Engineering at Cornell University
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Pennsylvania
English, Korean