His research interests include accelerating large-scale ML training with comprehensive approaches including compiler-based optimization, topology-aware scheduling, and hardware offloading (GPU / Network / ASIC).
M.S. in Computer Science, 2022-present
KAUST
B.S. in Computer Science, 2022
Southern University of Science and Technology (SUSTech)