Summary
Javier Yu is a research scientist and roboticist with a Ph.D. in Aeronautics and Astronautics from Stanford and a decade of hands-on experience building perception and learning systems for robots and vehicles. His work spans learned scene reconstruction, distributed multi-robot learning, and end-to-end autonomous driving research, with practical experience deploying models for on-vehicle inference and prototyping safety-aware perception pipelines. At Skydio he developed zero-/few-shot multi-modal systems to detect hazardous flight conditions and built large-scale curation and TensorRT deployment workflows, reflecting a strong focus on moving research into real-time embedded settings. He also led curriculum and hardware modernization for a large robotics course, demonstrating an ability to teach and scale complex systems to hundreds of students. Based in Palo Alto, Javier blends rigorous academic foundations with production-minded engineering, often favoring solutions that bridge learned representations and robust, safety-critical control.
10 years of coding experience
9 years of employment as a software developer
Plattsburgh High School
Bachelor of Science (BS) Mechanical Engineering, Bachelor of Science (BS) Mechanical Engineering at University at Buffalo
Doctor of Philosophy - PhD Aerospace Aeronautical and Astronautical Engineering, Doctor of Philosophy - PhD Aerospace Aeronautical and Astronautical Engineering at Stanford University
Spanish, English