Zhengchun Liu works at the intersection of AI-for-Science(AI4S) and computer systems including HPC, distributed computing(e.g., geographically distributed science workflow) and AI systems(e.g., Cerebras, Graphcore, SambaNova etc) for AI4S apps. More specifically, on one side he focuses his effort on applying advanced data science and machine learning techniques for solving and/or accelerating domain scientific applications such as synchrotron X-ray imaging and climate (i.e., AI for Science). On the other side, he also works on building frameworks to facilitate the AI model training and inference process in the context of AI for Science (i.e., system for AI).