Wei Zhang is a Research Staff Member at IBM T.J. Watson with 12 years of experience building and accelerating large-scale machine learning and deep learning systems. He combines deep academic training (M.Sc. from DTU and PhD work at UW–Madison) with practical systems and programming-language expertise to optimize ML workloads and infrastructure. As an adjunct assistant professor at NYU Courant, he bridges cutting-edge research and graduate education while driving applied research at IBM. His background in concurrent software reliability and systematic testing informs a rigorous approach to performance, correctness, and scalability. Based in Yorktown, NY, he has a track record of moving ideas from theory to production-grade systems and a particular interest in optimization techniques that unlock faster training and inference.
12 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD) Candidate, Computer Science, Doctor of Philosophy (PhD) Candidate, Computer Science at University of Wisconsin-Madison
Master of Science (M.Sc.), Computer Science, Master of Science (M.Sc.), Computer Science at Danmarks Tekniske Universitet
Beijing No.4 high school
Bachelor of Engineering (B.E.), Computer Science, Bachelor of Engineering (B.E.), Computer Science at Beijing University of Technology
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