Summary
Jianyu Su is a PhD-trained systems engineer and Doctoral Management Trainee at JD.com with nine years of experience applying machine learning to real-world problems in computer vision, NLP, and reinforcement learning. He has driven research and prototype systems for automated and cooperative driving during internships at Toyota InfoTechnology Center, producing publications, patent extensions, and a 5k-line TensorFlow codebase for trajectory prediction. Comfortable bridging academia and industry, he routinely writes proposals, coordinates interdisciplinary teams across institutions, and translates research into invention disclosures. Based in Chaoyang District, Beijing, he combines deep technical rigor with practical deployment focus, often surfacing cross-domain insights that accelerate applied ML solutions.
9 years of coding experience
Doctor of Philosophy - PhD, Systems Engineering, Doctor of Philosophy - PhD, Systems Engineering at University of Virginia