Jiashu Xu is a research scientist at NVIDIA with nine years of experience at the intersection of applied machine learning and computational science. Trained in computational science and engineering at Harvard with undergraduate studies in applied mathematics and computer science, he blends rigorous quantitative foundations with practical engineering. His recent roles include applied science at Amazon and research work focused on translating advanced algorithms into production-ready systems. Based in California, he brings cross-disciplinary exposure from robotics to large-scale ML, reflecting studies at HKUST and hands-on industry experience. Known for a persistent experimental mindset—aptly summarized by his GitHub tagline "try try see"—he favors iterative prototyping to validate ideas quickly. Colleagues can expect a researcher who balances deep theory with pragmatic implementation to accelerate real-world AI deployments.
9 years of coding experience
Bachelor's degree Applied Mathematics and Computer Science, Bachelor's degree Applied Mathematics and Computer Science at University of Southern California
Hong Kong University of Science and Technology (HKUST)
Master's degree COMPUTATIONAL SCIENCE AND ENGINEERING, Master's degree COMPUTATIONAL SCIENCE AND ENGINEERING at Harvard University
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