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Jiannan Tian received his Ph.D. degree in Intelligent Systems Engineering (Computer Engineering Track). His research covers building efficient computing systems for HPC and AI, AI-aided scientific data reduction, and AI model reduction. During his Ph.D. study, he works as a student intern at Argonne National Laboratory (ANL). He is also the leading developer of open-source pSZ/cuSZ (link), a reference design of GPU-accelerated scientific lossy compressor.