Dr. Dingwen Tao and his research group (https://www.dingwentao.com/hipdac) at Washington State University have strong research interests in high-performance computing (HPC), high-performance machine learning, big data reduction, fault-tolerant and energy-efficient computing, etc. We have published in prestigious top-tier HPC and big data conferences and journals, including Supercomputing (SC), ICS, HPDC, PPoPP, PACT, IPDPS, Cluster, DAC, BigData, ICPP, MSST, TPDS, etc. Our most innovative and significant contribution is the creation and development of several outstanding data compression software, which will be part of the software stack for incoming U.S. exascale supercomputers and have already been tested for many large-scale scientific applications in cosmology, quantum chemistry, molecular dynamics, climate, and instrumentation. We have been closely working with multiple teams and scientists from the Argonne National Lab, Los Alamos National Lab, Brookhaven National Laboratory, Oak Ridge National Lab, and Pacific Northwest National Lab on real-world applications and cutting-edge supercomputers. Dr. Tao is the receipt of the 2020 IEEE Computer Society TCHPC Early Career Researchers Award for Excellence in High Performance Computing.