Tongzhou is a MS/Ph.D. Student in the Software-Defined Advanced Networked and Distributed Systems (SANDS) Lab in KAUST, advised by Prof. Marco Canini. He obtained his bachelor’s degree from the Southern University of Science and Technology in 2022. During the time of his undergraduate study, he was an SDE intern at AWS Shanghai AI Lab and a research intern at SANDS Lab.
Tongzhou’s research interests lie in High-Performance Networking and Computing as well as Distributed Machine Learning Systems. Currently, he is working on accelerating large-scale ML training with comprehensive approaches, including hardware offloading (GPU / Networks / FPGA), compiler-based optimization, and topology-aware scheduling.