Hi, I am Zhiqiang, a fourth year Computer Science Ph.D. student at Stanford University.

My research aims to build infrastructures to enable more efficient and large-scale machine learning and enhance observability and reliability of such systems. I am part of the MAST Lab, advised by Prof. Christos Kozyrakis and I also work closely with Prof. Kayvon Fatahalian.

During my Ph.D., I have interned at Microsoft Research, where I explored using language models for efficient fault localization, and at NVIDIA Research, where I worked on improving memory management for large-scale language model serving.

Prior to joining Stanford, I obtained my master’s and bachelor’s degrees at ShanghaiTech University and had a great time interning in the Cloud Software System Group at Max Planck Institute for Software Systems (MPI-SWS), the Systems and Networking Research Group at Microsoft Research Asia and the DGL team at AWS Shanghai AI Lab.

CV