Summary
Jiang Su is a Senior Researcher with 8 years of experience at the intersection of hardware-software co-design and efficient deep learning, currently based in Wuxi. He designs computation architectures for hybrid DNN workloads and develops pruning algorithms that cut redundancy while preserving state-of-the-art accuracy for vision and speech models. His PhD in Electrical and Electronic Engineering from Imperial College underpins practical work on low-precision training, FPGA acceleration, and energy-efficient AI processors. Earlier roles at Xilinx and Cambridge reflect a strong background in model compression, data compression, and embedded inference/training. He also has hands-on experience teaching low-level systems and compiler-related tooling, which complements his algorithmic focus in molecular vibrational spectroscopy on GitHub. Colleagues value his ability to translate academic research into deployable, resource-constrained AI systems.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Applied Science (B.A.Sc.), Computer Software Engineering, Bachelor of Applied Science (B.A.Sc.), Computer Software Engineering at University of Electronic Science and Technology
PhD, Electrical and Electronic Engineering, PhD, Electrical and Electronic Engineering at Imperial College London
Chinese, English