Yu Yao is a research-driven machine learning engineer with a PhD in Robotics from the University of Michigan and a decade of experience applying computer vision and deep learning to autonomous driving and intelligent transportation systems. He has translated academic advances in spatio-temporal event detection, trajectory prediction, and video anomaly detection into production-focused roles at Nuro, ByteDance, Meta, and now Mind Robotics, often bridging research and engineering to deploy large-scale multimodal models. Recently his work has centered on behavior ML foundation models and multimodal LLMs for agentic AI, including supervised fine-tuning with chain-of-thought reasoning and model-graded evaluation at billion-scale datasets. Yu combines deep theoretical grounding (publishing novel datasets and evaluation metrics) with hands-on systems experience—building automotive event-recording pipelines and image-text ranking models for e-commerce. Based in Mountain View, he brings both leadership as a technical lead and rapid prototyping instincts from industry internships at Toyota Research Institute and Honda Research Institute. An infrequent but impactful open-research contributor, he tends to surface practical metrics and benchmarks that others adopt when moving vision research toward real-world autonomy.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Mechatronics, Robotics, and Automation Engineering, Doctor of Philosophy (Ph.D.), Mechatronics, Robotics, and Automation Engineering at University of Michigan College of Engineering
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Yu Yao - Member Of Technical Staff at Mind Robotics