Summary
Mingyang Li is a PhD candidate and software engineer specializing in computer vision, robotics, and multimodal machine learning, currently applying those skills at Nuro. He combines research-grade experience—building incremental 3D scene graphs with graph neural networks and Transformers and developing SLAM and UAV navigation pipelines—with practical engineering from internships at General Motors and hands-on simulation tooling in Gazebo-ROS. With a background spanning electrical engineering to advanced AI, he bridges low-level systems (ROS, perception) and high-level models (transformers, BEV, multimodal LLMs) to deliver map-free autonomy solutions. His early career as an electrical foreman gives him uncommon grounding in real-world deployments and system reliability. Always curious, he seeks roles that push breakthrough tech and collaborative, creative problem solving.
2 years of coding experience
Bachelor's degree, Electrical Engineering and Automation, Bachelor's degree, Electrical Engineering and Automation at North China Electric Power University (Beijing)
Doctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at Syracuse University