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Chiyu "Max" Jiang is a Ph.D student at UC Berkeley advised by Prof. Philip Marcus, affiliated with the Data Analytics group at NERSC, Lawrence Berkeley National Lab. He has spent a year as a student researcher at Google AI. He is research interest is in Machine Learning and Deep Learning methodologies related to 3D geometry. In particular, he is interested in leveraging advances in 3D learning for applications in a variety of physical and engineering systems.
Machine Learning, Deep Learning and Artificial Intelligence
Parallel Programming Languages, Libraries, and Models
Best Student Paper Finalist
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