James Xu is a Senior Research Scientist based in New York with a decade of experience building robot learning systems that bridge machine learning, control, and healthcare applications. With a PhD in Computer Science from Columbia and roles at Ant Group and the RAI Institute, he focuses on visuotactile multimodal foundation models and Physical AI that tightly link open-source development with academic research. His background includes hands-on visuotactile data collection, reinforcement learning and active planning work at GRASP Lab and MIT, reflecting a rare blend of applied experimentation and theoretical rigor. James often operates at the intersection of deployed robotics and academic foundations, emphasizing reproducibility and community-facing toolchains that accelerate real-world manipulation research.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering - BEng Computer Science and Electronics, Bachelor of Engineering - BEng Computer Science and Electronics at The University of Edinburgh
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Columbia University
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