Dingwen Tao is a full professor at the Institute of Computing Technology, Chinese Academy of Sciences, where he directs the High-Performance Data Processing and Learning Systems Group. He was a tenured associate professor at Indiana University, Bloomington. He earned his Ph.D. in Computer Science from the University of California, Riverside, in 2018 and his B.S. in Mathematics from the University of Science and Technology of China in 2013. He has received numerous awards, including the NSF CAREER Award (2023), Amazon Research Award (2022), Meta Research Award (2022), R&D100 Awards Winner (2021), IEEE Computer Society TCHPC Early Career Researchers Award for Excellence in High Performance Computing (2020), NSF CRII Award (2020), and IEEE CLUSTER Best Paper Award (2018). He currently serves as an Associate Editor for the IEEE Transactions on Parallel and Distributed Systems and the Parallel Computing Journal. He has acted as the Program Co-chair for IEEE ScalCom-2021, the DRBSD-9 workshop, and IWBDR workshops. He is a Senior Member of ACM and IEEE.