Tianyu Ding is a Principal Researcher at Microsoft with eight years of experience bridging applied mathematics and machine learning research. He holds a PhD in Applied Mathematics from Johns Hopkins University and has progressed through roles at Microsoft from research intern to senior researcher before his current appointment. His work includes designing deep neural architectures for video frame interpolation (CVPR 2021) and spans both theoretical modeling and practical system implementation. Comfortable in C/C++ and MATLAB from earlier engineering and teaching roles, he brings a rare mix of rigorous quantitative training and hands-on software development. Based in Redmond, he often translates advanced math into production-ready models and tooling, maintaining a personal site that showcases his research and code.
8 years of coding experience
6 years of employment as a software developer
Johns Hopkins University
Bachelor of Science (B.S.) Mathematics and Applied Mathematics, Bachelor of Science (B.S.) Mathematics and Applied Mathematics at Sun Yat-sen University
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